This dataset contains eDNA metabarcoding data of fish species detected in 17 locations in the Belgian Part of the North Sea (BPNS). The seawater samples were collected during a field campaigns in 2022. The fish species were identified using 12S eDNA metabarcoding. The dataset includes amplicon sequence variants and their associated metadata. [This dataset was processed using the GBIF eDNA converter tool.]

Lijst geanonimiseerde AMA (Arbeidsmatige aktiviteiten per jaar) werknemers per jaar en uitgesplitst naar gemeente, provincie, geslacht en leeftijdsklasse.Alle persoonsgegevens zijn geanonimiseerd, de werknemer_case_id is specifiek gemaakt per maatregel en is niet koppelbaar over de verschillende maatregelen heen om de persoon niet identificeerbaar te maken door verrijking a.h.v. andere datasets.Unieke werknemers: Werknemers kunnen meerdere dossiers in een jaar aanvragen, als je het aantal unieke werknemers wil kennen kan je een extractie naar MS Excel maken en dan een draaitabel toepassen die de "unieke aantallen" berekent voor de gevraagde kenmerken en jaar.

MICA - Muskrat occurrences collected in West Flanders, Belgium is an occurrence dataset published by the Research Institute of Nature and Forest (INBO). It is part of the LIFE project MICA, in which innovative techniques are tested for a more efficient control of muskrat and coypu populations, both invasive species. This dataset contains muskrat trap captures. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, the number of recorded individuals, status (present/absent) and scientific name. Issues with the dataset can be reported at https://github.com/inbo/mica-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. The data were collected as part of the MICA project, which received funding from the European Union’s LIFE Environment sub-programme under the grant agreement LIFE18 NAT/NL/001047.

Lijst geanonimiseerde LDE (Lokale diensteneconomie) werknemers per jaar en uitgesplitst naar gemeente, provincie, geslacht en leeftijdsklasse.Alle persoonsgegevens zijn geanonimiseerd, de werknemer_case_id is specifiek gemaakt per maatregel en is niet koppelbaar over de verschillende maatregelen heen om de persoon niet identificeerbaar te maken door verrijking a.h.v. andere datasets.Unieke werknemers: Werknemers kunnen meerdere dossiers in een jaar aanvragen, als je het aantal unieke werknemers wil kennen kan je een extractie naar MS Excel maken en dan een draaitabel toepassen die de "unieke aantallen" berekent voor de gevraagde kenmerken en jaar.

Meetnetten.be - Chorus counts for Amphibia in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It is part of the Meetnetten.be suite of monitoring networks for priority species in Flanders, in which data are collected at fixed locations using a standardized protocol (https://meetnetten.be). This dataset contains site counts for 3 priority species (Hyla arborea, Epidalea calamita and Pelobates fuscus), as well as other amphibian species observed during sampling. 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 an 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/meetnetten-occurrences/issues Generalized and/or withheld information: as these are sensitive priority species, location information is generalized to 1, 5 or 10 km Universal Transverse Mercator (UTM) grid cells. Original locations are available upon request. 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. For all published Meetnetten.be datasets, see https://www.gbif.org/dataset/search?project_id=meetnetten.be

Releve data from a historical-ecological study of the amphibious vegetation of shallow lakes at Turnhout, Belgium. Releves are comprised from the study period (1999, by Floris Vanderhaeghe) and from older times (1973-1993, by Geert De Blust and including 1 releve by Herman Stieperaere). Many of these phytocoenoses belong to the Littorelletea class. 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.

Evolutie van het areaal onder biocontrole in Vlaanderen.

Evolutie en detail van de productiewaarde van de Vlaamse landbouw

Dataset voor verbruiksgegevens geaggregeerd per energie (elektriciteit/gas), richting (injectie/afname), statistische sector, en tot op NACE sector niveau. De verbruiken worden geaggregeerd naar een kalenderjaar (01/jan-31/dec). De hoofdgemeente bepalen we aan de hand van de postcode waar het punt zich bevindt (leveringsadres). De code voor een statistische sector bestaat uit 9 tekens waarvan de betekenis is weergegeven in de legende.

Invasive species - Ruddy duck (Oxyura jamaicensis) in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It contains information on 107 sampling events with 88 validated occurrences of invasive ruddy duck (with 2 extra occurrences reporting on white-headed duck) starting from 2009. These occurrences mainly originate from observations or cullings (through shooting or trapping) of individuals associated with official control actions in Flanders, North Belgium in response to the Bern Convention Action Plan on ruddy duck eradication (Robertson et al. 2015; Bern Convention 2016; Hall 2016). The data are used for feeding the Flemish biodiversity indicator on the progress of ruddy duck eradication. Also, they are used for official reporting to the Bern Convention Action Plan on the eradication of ruddy duck from the Western Palearctic (Bern Convention 2016; Hall 2016) and, as the species is included in the list of invasive species of Union Concern since 2016, for reporting to the EU IAS Regulation (1143/2014) (European Union 2014). The data are also used for research purposes. Here the dataset is published as a standardized Darwin Core Archive and includes for each event: a stable eventID, date and location of observation, and a short description of the sampling protocol (in the event core), supplemented with specific information for each occurrence: a stable occurrenceID, the scientific name and higher classification of the observed species, the number of recorded individuals, sex, life stage, and a reference to the observer and identifier of the record (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.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).

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.

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