This animal tracking dataset is derived from Oosterbeek et al. (2022, <a href="https://doi.org/10.5281/zenodo.6656937">https://doi.org/10.5281/zenodo.6656937</a>) a deposit of Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605803389">1605803389</a>. Data have been standardized to Darwin Core using the <a href="https://inbo.github.io/movepub/">movepub</a> R package and are downsampled to the first GPS position per hour. The original dataset description follows. <em>O_AMELAND - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Ameland (the Netherlands)</em> is a bird tracking dataset published by <a href="http://www.sovon.nl">Sovon</a>, the <a href="https://ibed.uva.nl">University of Amsterdam</a> and the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data for the study <strong>O_AMELAND</strong> using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was&nbsp;operational from 2010 to 2013. In total 15 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged as a breeding bird on the Wadden island Ameland (the Netherlands), mainly to study their space use during the breeding season. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected. These data were collected by Sovon and University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

The 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 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 Rat control occurrences collected by VMM in Flanders, Belgium is an occurrence dataset published by Flanders Environment Agency (VMM). The dataset is assembled by the VMM to monitor and control pest organisms in Flanders from 2016 onwards. It mainly includes observations of muskrats and brown rats, but other animal and plant pest species are included as well. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record: an occurrenceID, scientific name, number of individuals (optional), date and location. Issues with the dataset can be reported at https://github.com/riparias/vmm-rattenapp-occurrences/issues. We have released this dataset 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.

This animal tracking dataset is derived from Stienen et al. (2022, <a href="https://doi.org/10.5281/zenodo.6594838">https://doi.org/10.5281/zenodo.6594838</a>) a deposit of Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study986040562">986040562</a>. Data have been standardized to Darwin Core using the <a href="https://inbo.github.io/movepub/">movepub</a> R package and are downsampled to the first GPS position per hour. The original dataset description follows. <em>HG_OOSTENDE - Herring gulls (Larus argentatus, Laridae) breeding at the southern North Sea coast (Belgium)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>HG_OOSTENDE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study has been operational since 2013. In total 60 individuals of European Herring gull (<em>Larus argentatus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Ostend and Zeebrugge in Belgium), mainly to study their habitat use. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

This animal tracking dataset is derived from Stienen et al. (2022, <a href="https://doi.org/10.5281/zenodo.6579497">https://doi.org/10.5281/zenodo.6579497</a>) a deposit of Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study985143423">985143423</a>. Data have been standardized to Darwin Core using the <a href="https://inbo.github.io/movepub/">movepub</a> R package and are downsampled to the first GPS position per hour. The original dataset description follows. <em>LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands)</em> is a bird tracking dataset published by the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (<a href="http://lifewatch.be/en/gps-tracking-network-large-birds">http://lifewatch.be/en/gps-tracking-network-large-birds</a>) for the project/study <strong>LBBG_ZEEBRUGGE</strong>, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study has been operational since 2013. In total 162 individuals of Lesser black-backed gull (<em>Larus fuscus</em>) have been tagged in or near their breeding area at the southern North Sea coast (Zeebrugge and Ostend in Belgium and Vlissingen in the Netherlands), mainly to study their habitat use and migration behaviour. Data are periodically uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). This dataset was collected using infrastructure provided by VLIZ and INBO funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

Waarnemingen.be - Non-native animal occurrences in Flanders and the Brussels Capital Region, Belgium is a species occurrence dataset published by Natuurpunt and described (v1.2) in Swinnen et al. (2018, https://doi.org/10.3391/bir.2018.7.3.17). The dataset contains over 945,000 occurrences of 678 non-native animal species, recorded by volunteers (citizen scientists), mainly since 2008. The occurrences are derived from the database http://www.waarnemingen.be, hosted at the nature conservation NGO Natuurpunt in collaboration with Stichting Natuurinformatie. Standardized information regarding the occurrence's sex, lifeStage, reproductiveCondition, behavior, occurrenceRemarks, and samplingProtocol is included as well. Generalized and/or withheld information: since dataset v1.4 location information is no longer generalized to grid cells, but provided as the original decimalLatitude/Longitude and coordinateUncertaintyInMeters for all occurrences. Observer name, toponyms, and photographs are not included in the published dataset, but are known in the source database. To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.natuurpunt.be/normen-voor-datagebruik) and provide a link to the original dataset (https://doi.org/10.15468/k2aiak) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to provide more information or know how you have used the data, so please contact us via the contact information provided in the metadata or natuurdata@natuurpunt.be. The publication of this dataset is supported by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

Waarnemingen.be - Non-native plant occurrences in Flanders and the Brussels Capital Region, Belgium is a species occurrence dataset published by Natuurpunt and described (v1.2) in Swinnen et al. (2018, https://doi.org/10.3391/bir.2018.7.3.17). The dataset contains over 686,000 occurrences of 1,700 non-native plant, algae and fungi species, recorded by volunteers (citizen scientists), mainly since 2008. The occurrences are derived from the database http://www.waarnemingen.be, hosted at the nature conservation NGO Natuurpunt in collaboration with Stichting Natuurinformatie. Standardized information regarding the occurrence's sex, reproductiveCondition, behavior, occurrenceRemarks, and samplingProtocol is included as well. Generalized and/or withheld information: since dataset v1.4 location information is no longer generalized to grid cells, but provided as the original decimalLatitude/Longitude and coordinateUncertaintyInMeters for all occurrences. Observer name, toponyms, and photographs are not included in the published dataset, but are known in the source database. To allow anyone to use this dataset, we have released the data to the public domain under a Creative Commons Zero waiver (http://creativecommons.org/publicdomain/zero/1.0/). We would appreciate however, if you read and follow these norms for data use (http://www.natuurpunt.be/normen-voor-datagebruik) and provide a link to the original dataset (https://doi.org/10.15468/smdvdo) whenever possible. If you use these data for a scientific paper, please cite the dataset following the applicable citation norms and/or consider us for co-authorship. We are always interested to provide more information or know how you have used the data, so please contact us via the contact information provided in the metadata or natuurdata@natuurpunt.be. The publication of this dataset is supported by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.

Florabank1 is a database that contains distributional data on the wild flora (indigenous species, archeophytes and naturalised aliens) of Flanders and the Brussels Capital Region. It holds about 3 million records of vascular plants, dating from 1800 till present. Furthermore, it includes ecological data on vascular plant species, redlist category information, Ellenberg values, legal status, global distribution, seed bank etc. The database is an initiative of "Flo.Wer" (http://www.plantenwerkgroep.be), the Research Institute for Nature and Forest (INBO) (http://www.inbo.be) and the National Botanic Garden of Belgium (http://www.br.fgov.be). Florabank aims at centralizing botanical distribution data gathered by both professional and amateur botanists and to make these data available to the benefit of nature conservation, policy and scientific research. The occurrence data contained in Florabank1 are extracted from checklists, literature and herbarium specimen information. Of survey lists, the locality name (verbatimLocality), species name, observation date and IFBL square code - the grid system used for plant mapping in Belgium (Van Rompaey 1943) - are recorded. For records dating from the period 1972–2004 all pertinent botanical journals dealing with Belgian flora were systematically screened. Analysis of herbarium specimens in the collection of the National Botanic Garden of Belgium, the University of Ghent and the University of Liège provided interesting distribution knowledge concerning rare species, this information is also included in Florabank1. The IFBL data recorded before 1972 is available through the Belgian GBIF node (http://www.gbif.org/dataset/940821c0-3269-11df-855a-b8a03c50a862), not through Florabank1, to avoid duplication of information. A dedicated portal providing access to all currently published Belgian IFBL records is available at: http://projects.biodiversity.be/ifbl. All data in Florabank1 is georeferenced. Every record holds the decimal centroid coordinates of the > IFBL square containing the observation. The uncertainty radius is the smallest circle possible covering the whole IFBL square, which can measure 1 km² or 4 km². Florabank is a work in progress and new occurrences are added as they become available; the dataset will be updated through GBIF on a regularly base.

This animal tracking dataset is derived from Oosterbeek et al. (2022, <a href="https://doi.org/10.5281/zenodo.6603183">https://doi.org/10.5281/zenodo.6603183</a>) a deposit of Movebank study <a href="https://www.movebank.org/cms/webapp?gwt_fragment=page=studies,path=study1605799506">1605799506</a>. Data have been standardized to Darwin Core using the <a href="https://inbo.github.io/movepub/">movepub</a> R package and are downsampled to the first GPS position per hour. The original dataset description follows. <em>O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands)</em> is a bird tracking dataset published by <a href="http://www.sovon.nl">Sovon</a>, the <a href="https://ibed.uva.nl">University of Amsterdam</a> and the <a href="https://www.inbo.be/en">Research Institute for Nature and Forest (INBO)</a>. It contains animal tracking data collected during <a href="https://chirpscholekster.nl">CHIRP</a> (Cumulative Human Impact on biRd Populations) for the study <strong>O_SCHIERMONNIKOOG</strong> using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, <a href="http://www.uva-bits.nl">http://www.uva-bits.nl</a>). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (<em>Haematopus ostralegus</em>) have been tagged as a breeding bird on the saltmarshes of the island Schiermonnikoog (the Netherlands), mainly to study their space use both during the breeding season and winter season. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see <a href="https://github.com/inbo/bird-tracking">https://github.com/inbo/bird-tracking</a>). No new data are expected. These data were collected by Sovon in collaboration with the University of Amsterdam (UvA). Funding was provided by NAM and supported by the UvA-BiTS virtual lab on the Dutch national e-infrastructure, built with support of LifeWatch, the Netherlands eScience Center, SURFsara and SURFfoundation. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.