The Registry of introduced terrestrial molluscs in Belgium is a species checklist dataset published by the Royal Belgian Institute for Natural Sciences (RBINS). It contains information on all (29) non-native terrestrial molluscs occurring in the wild in Belgium since 1800. The list was originally compiled for EASIN (https://easin.jrc.ec.europa.eu/easin) and is based on a literature survey and information from the collections of the Royal Belgian Institute of Natural Sciences (RBINS). Here it is published as a standardized Darwin Core Archive and includes for each species: the accepted scientific name and associated synonyms, higher classification, detailed taxonomic background information and stable taxon identifier (in the taxon core), the (confidence regarding the) presence in Belgium, the year of the first introduction (first report), sometimes the last assessment/observation in Belgium and detailed verbatim information about the recorded introductions (in the distribution extension), vernacular names (in the vernacular names extension), the pathway(s) of introduction, native range(s) and degree of establishment in Belgium (in the description extension) and a detailed overview of the consulted resources (in the literature reference extension). The dataset can be used for researching and managing terrestrial alien molluscs or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/alien-mollusca-checklist 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.
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Research Institute for Nature and Forest (INBO)
- VIS - Fish species introduction and recovery evaluation in streams and rivers in Flanders, Belgium is a sample based dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains over 15,300 fish occurrences in over 400 samplingevents between 2007 and 2019 from 35 watercourses (strams and rivers) and enclosed waters. . The dataset includes more then 35 fish species and some crustacean bycatch. The data are collected to evaluate the success of the reintroduction of the fishes. Issues with the dataset can be reported at https://github.com/inbo/data-publication Length and weight measurement data of the individual fishes, absence information, occurrence data since 2013, as well as abiotic data of the sampling points (pH, temperature, etc.) are not included in the Darwin Core Archive and are available upon request. 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.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/complete) 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 know how you have used or visualized the data, or referenceto provide more information, so please contact us via the contact information provided in the metadata, oscibio@inbo.be or https://twitter.com/oscibio.
- The Checklist of alien birds of Belgium is a species checklist dataset published by the Research Institute for Nature and Forest (INBO). It contains information on 244 alien birds species occurring or ever observed in the wild in Belgium since 1800 and is is a compilation of different sources: literature (e.g. scientific papers, reports), citizen science portals (e.g. observations.be, waarnemingen.be, the Belgian Rare Birds Committee http://www.belgianrbc.be) and online databases such as DAISIE (DAISIE 2000) or the Global Avian Invasions Atlas (Dyer et al. 2017). Here, the checklist 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 in Flanders, Wallonia and the Brussels-Capital Region, as well as the year of the first introduction (first collection) and/or last assessment/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 pathway(s) of introduction, native range(s) and degree of establishment in Belgium (in the description extension). The checklist can be used for research, to inform horizon-scanning exercises, to perform risk assessments of alien species, to compile regional and national registries of alien species, to feed biodiversity indicators etc. Issues with the dataset can be reported at https://github.com/trias-project/alien-birds-checklist 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 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 (Desmet et al. https://doi.org/10.15468/xoidmd). The compilation of the checklist was supported by the Short Term Scientific Mission Improving data flows for alien birds in Belgium and drafting a roadmap for alien species citizen science in Romania funded by the European Cooperation in Science and Technology (COST) Alien CSI CA17122 - Increasing understanding of alien species through citizen science (https://alien-csi.eu/).
- This animal tracking dataset is derived from Koks et al. (2022, https://doi.org/10.5281/zenodo.6574736) a deposit of Movebank study 922263102. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. H_GRONINGEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding in Groningen (the Netherlands) is a bird tracking dataset collected by the Grauwe kiekendief - Kenniscentrum Akkervogels (GKA) / Dutch Montagu’s Harrier Foundation and published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected for the project/study H_GRONINGEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2012 until 2018. In total 4 individuals of Western marsh harriers (Circus aeruginosus) have been tagged in their breeding area in the province Groningen (the Netherlands) close to the Netherlands-Germany border, mainly to study their habitat use and migration behaviour. Data are uploaded from the UvA-BiTS database to Movebank and from there archived on Zenodo (see https://github.com/inbo/bird-tracking). No new data are expected. See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset.
- 'PINK - Amphibia monitoring for the permanent surveillance of coastal areas in Flanders, Belgium.' is a sample based species occurrence dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains over 1900 occurrences sampled between 2007-04-03 and 2016-07-05 from 243 ponds near the Belgian coast. The dataset includes over 10 species, collected in the PINK Amphibia subset. The monitoring of these coastal areas is needed to secure the nature conservation at the Belgian coast. Issues with the dataset can be reported at https://github.com/LifeWatchINBO/dataset-pink-amphibia-events. The data are collected for the project PINK (Permanente Inventarisatie van de Natuurreservaten aan de Kust), which was commissioned by the Agency for Nature and Forest in 2007. The project started with the aim of mapping the natural values on the coast in a more systematic way. A first 3-year phase (PINK I) ran from 2008 to 2010, in which the methodology was set up and an initial assessment was conducted. A second phase (PINK II) ran from 2012 to 2014, which was a continuation of the main components of PINK I, with special attention for invasive species and grasshoppers. A third phase (PINK III) is running from 2014 to 2018. This dataset contains mainly Amphibia occurrences observed during PINK I and PINK II. 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.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/complete) 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 know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO.
- This animal tracking dataset is derived from Spanoghe et al. (2022, https://doi.org/10.5281/zenodo.6568082) a deposit of Movebank study 938783961. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. MH_ANTWERPEN - Western marsh harriers (Circus aeruginosus, Accipitridae) breeding near Antwerp (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study MH_ANTWERPEN, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2018. In total 4 individuals of Western marsh harriers (Circus aeruginosus) have been tagged in their breeding area near the city of Antwerp (Belgium), 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 https://github.com/inbo/bird-tracking). See Milotic et al. (2020, https://doi.org/10.3897/zookeys.947.52570) for a more detailed description of this dataset. This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.
- Invasive species - American bullfrog (Lithobates catesbeianus) in Flanders, Belgium (Post 2018) is a species occurrence dataset published by the Research Institute for Nature and Forest (INBO). The dataset contains over 24600 occurrences (40 % of which are American bullfrogs) sampled between 2019 until now, in the months April to October. The occurrences were collected through fieldwork and the framework of bullfrog management. Captured bullfrogs were almost always removed from the environment and humanely killed, while the other occurrences are recorded bycatch, which were released upon catch (see bibliography for detailed descriptions of the methods). Therefore, caution is advised when using these data for trend analysis, distribution range calculation, or other. Issues with the dataset can be reported at https://github.com/inbo/sk-analyse We strongly believe an open attitude is essential for tackling the IAS problem (Groom et al. 2015). 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 it however if you read and follow these norms for data use (http://www.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/daf62d) 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 know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, opendata@inbo.be or https://twitter.com/LifeWatchINBO. Data from 2010 to 2018 can be found here: https://doi.org/10.15468/2hqkqn
- This animal tracking dataset is derived from Oosterbeek et al. (2022, https://doi.org/10.5281/zenodo.6603183) a deposit of Movebank study 1605799506. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. O_SCHIERMONNIKOOG - Eurasian oystercatchers (Haematopus ostralegus, Haematopodidae) breeding on Schiermonnikoog (the Netherlands) is a bird tracking dataset published by Sovon, the University of Amsterdam and the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected during CHIRP (Cumulative Human Impact on biRd Populations) for the study O_SCHIERMONNIKOOG using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study was operational from 2008 to 2014. In total 43 individuals of Eurasian oystercatchers (Haematopus ostralegus) 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 https://github.com/inbo/bird-tracking). 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.
- This animal tracking dataset is derived from Stienen et al. (2022, https://doi.org/10.5281/zenodo.6579497) a deposit of Movebank study 985143423. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. LBBG_ZEEBRUGGE - Lesser black-backed gulls (Larus fuscus, Laridae) breeding at the southern North Sea coast (Belgium and the Netherlands) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_ZEEBRUGGE, using trackers developed by the University of Amsterdam Bird Tracking System (UvA-BiTS, http://www.uva-bits.nl). The study has been operational since 2013. In total 162 individuals of Lesser black-backed gull (Larus fuscus) 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 https://github.com/inbo/bird-tracking). 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.
- VIS - 'Specific Reference Freshwater Monitoring’ in Flanders, Belgium is a sample based dataset published by the Research Institute for Nature and Forest (INBO). The original database is described in Brosens et al. 2015 (https://doi.org/10.3897/zookeys.475.8556). This dataset contains over 19,000 occurrences sampled between 2013 and 2023 from 45 locations per species in inland rivers, streams and canals in Flanders, Belgium. The dataset includes 4 target species (Cobitis taenia, Cottus perifretum, Lampetra planeri and Rhodeus amarus), as well as a number of non-target species. The data are retrieved from the Fish Information System (VIS), a database set up to monitor the status of fishes and their habitats in Flanders and are collected in support of the Water Framework Directive, the Habitat Directive, certain red lists, and biodiversity research. Additional information, such as measurements, absence information and abiotic data are available upon request. Issues with the dataset can be reported at https://github.com/inbo/data-publication/tree/master/datasets/vis-freshwater-monitoring-events Length and weight measurement data of the individual fishes, absence information, occurrence data since 2013, as well as abiotic data of the sampling points (pH, temperature, etc.) are not included in the Darwin Core Archive and are available upon request. 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.inbo.be/en/norms-for-data-use) and provide a link to the original dataset (https://doi.org/10.15468/klsy8u) 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 know how you have used or visualized the data, or to provide more information, so please contact us via the contact information provided in the metadata, oscibio@inbo.be or https://twitter.com/oscibio.
- The Belgian Coccinellidae dataset which is published, is the result of a merge of 4 datasets. The INBO (Research Institute for Nature and Forest; Flemish Region Database), the DFF database (The Walloon Region Database), Observations.be data provided by Natagora (The Walloon Region and Brussels Capital Region) and the Walloon Region Online Encoding Tool (DEMNA - OFFH, observatoire.biodiversite.wallonie.be/encodage) data. At present, the database contains about 80.000 records, of which 15% come from museum collections and literature data. Collection events minimally consist of species, number of individuals, stage (adults, larvae and pupae), observation date, observer and location. Original locations as well as collection material were attributed to 1x1 km or 5x5 km grid cells of the UTM grid (Universal Transverse Mercator). A large part of the Belgian territory has been surveyed for ladybird beetles: the database contains records for at least 85% of all 5x5km UTM grid cells (N = 1376) in Belgium. Additionally, data on substratum plants, height in the vegetation, sampling method, habitat type, surrounding landscape, slope orientation, soil type, humidity, vegetation cover and behaviour were noted. In 1999, the Belgian Ladybird Working Group Coccinula launched a large scale field survey on 40 native ladybird species (Coccinellinae, Chilocorinae and Epilachninae) and to date has more than 500 volunteers providing distribution data. They actively search for ladybird beetles in a variety of habitats using sweep nets, beating trays, visual search, light trapping, pitfall traps and other sampling methods. Distribution, habitat and substrate plant information is also noted on a standard recording form. The working group maintains a database of observations, literature and collection data of Coccinellidae from 1800 onwards. Preliminary atlases have been published for the whole Belgian territory (Branquart et al., 1999; Adriaens and Maes, 2004) and updated distribution maps are available online, on demand and through the working group's newsletter. The published dataset contains most of the data maintained by the working group. For the time being, only the original INBO database is published.
- This animal tracking dataset is derived from Stienen et al. (2022, https://doi.org/10.5281/zenodo.6579643) a deposit of Movebank study 1259686571. Data have been standardized to Darwin Core using the movepub R package and are downsampled to the first GPS position per hour. The original dataset description follows. LBBG_JUVENILE - Juvenile lesser black-backed gulls (Larus fuscus, Laridae) hatched in Zeebrugge (Belgium) is a bird tracking dataset published by the Research Institute for Nature and Forest (INBO). It contains animal tracking data collected by the LifeWatch GPS tracking network for large birds (http://lifewatch.be/en/gps-tracking-network-large-birds) for the project/study LBBG_JUVENILE, using trackers developed by Ornitela (https://www.ornitela.com). The study has been operational since 2020. In total 92 individuals of Lesser black-backed gull (Larus fuscus) have been tagged shortly after fledging in the colony of Zeebrugge, mainly to study their habitat use and migration behaviour. Data are automatically synced with Movebank and from there periodically archived on Zenodo (see https://github.com/inbo/bird-tracking). This dataset was collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch.