De Vlaamse gemeentelijke demografische vooruitzichten 2021-2040 van Statistiek Vlaanderen maken een inschatting van de evolutie van de bevolking en van de huishoudens voor 299 gemeenten van het Vlaamse Gewest. Het aantal inwoners in Herstappe is te klein om op te nemen in de vooruitzichten.

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

Invasive species - Chinese muntjac (Muntiacus reevesi) in Flanders, Belgium is a sampling event dataset published by the Research Institute of Nature and Forest (INBO). It contains information on 120 sampling events with 64 validated occurrences of invasive muntjac (M. reevesi) and native roe deer (Capreolus capreolus) starting from 2004. These occurrences mainly originate from casual observations or cullings of individuals. 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).

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).

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 700,000 occurrences of 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.

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 900,000 occurrences of 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.

Lijst van opleidingsverstrekkers en opleidingen gevolgd met Vlaams opleidingsverlof (VOV) met het aantal werknemers geaggregeerd per schooljaar en uitgesplitst volgens de volgende kenmerken: naam, ondernemingsnummer, naam opleiding, registratietype, registratienummer, start- en einddatum van de opleiding.Goed om te weten - unieke aantallen: Opleidingsverstrekkers en opleidingen kunnen meermaals voorkomen, als je het aantal unieke opleidingsverstrekkers of opleidingen 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 (school)jaar.

Lijst van geanonimiseerde VOV-werknemers (Vlaams opleidingsverlof) met het aantal dossiers en het aantal uren opleiding, geaggregeerd per schooljaar en uitgesplitst volgens de volgende kenmerken: geslacht leeftijdscategorie, registratietype en bedrijfsgrootte.Alle persoonsgegevens zijn geanonimiseerd, de persoons ID is niet koppelbaar over de verschillende maatregelen heen om, door bijkomende informatie, de persoon niet identificeerbaar te maken.Unieke werknemers: Werknemers kunnen meerdere dossiers Vlaams Opleidingsverlof (VOV) in een jaar aanvragen, als je het aantal unieke werknemers wil kennen voor VOV kan je een extractie naar MS Excel maken van VOV03 en dan een draaitabel toepassen die de "unieke aantallen" berekent voor de gevraagde kenmerken en jaar.

Lijst van werkgevers met Vlaams Opleidingsverlof (VOV) met aantal dossiers, het aantal werknemers en aantal uren geaggregeerd per schooljaar en uitgesplitst volgens de volgende werkgeverskenmerken: naam, vestigingsnummer, gemeente, provincie en bedrijfsgrootte.Goed om te weten:Onderneming: Het gaat over de aanvragende vestiging. Deze hoeft niet dezelfde te zijn als de vestiging waar de werknemer effectief werkt en VOV opneemt. De werknemer dient een tewerkstelling te hebben in een vestiging in het Vlaamse gewest voordat er VOV kan worden toegekend.  Unieke aantallen: Werkgevers kunnen meerdere dossiers/werknemers hebben met VOV, als je het aantal unieke werkgevers 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 (school)jaar.

Evolutie van het aantal goedgekeurde VOV-dossiers (Vlaams opleidingsverlof) inclusief het aantal uren aangevraagd, het aantal uren VOV recht, het aantal uren opleiding en opleiding eindbeoordeling geaggregeerd per maand en uitgesplitst volgens de volgende kenmerken : registratietype, geslacht, leeftijdscategorie, werknemer provincie en bedrijfsgrootte.