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.

The Monitoring of fishes and crustaceans by Province East Flanders in Flanders, Belgium is an sampling event dataset published by the Province East Flanders (Belgium). The data are collected from targeted monitoring on non-navigable watercourses, from 1985 onwards. Earlier collected data was digitized afterwards, newly collected data is digitized immediately. Only non-threatened 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, length, weight where available and scientific name. Also the physico-chemical parameters of the watercourses at that moment are given when available. Issues with the dataset can be reported at https://github.com/riparias/pov-fishes-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.

Monitoring of invasive alien species by the Province East Flanders, Belgium dataset is an occurrence dataset published by the Province East Flanders (Belgium). The dataset is created by ad-hoc in-field spotting of invasive species. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, quantification where available and scientific name. Issues with the dataset can be reported at https://github.com/riparias/pov-ias-plants-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 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 - Rat control occurrences in Flanders, Belgium" dataset 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.

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.

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.

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).

Deze dataset bestaat uit 16 CSV-bestanden met alle data gerelateerd aan gemeentelijke ondersteuning van het vrijetijdsbeleid, interne organisatie en samenwerking mbt het vrijetijdsbeleid, toegankelijkheid (financieel en samenwerking) tot het vrijetijdsaanbod in een gemeente, en inspraak van actoren in het vrijetijdsbeleid. Deze dataset bevat ook het aantal inwoners per gemeente voor het jaar 2017. Deze data werden verzameld door de lokale vrijetijdsmonitor specifiek voor werkjaar 2017. Deze data komen uit externe authentieke bronnen alsook uit de registratietool waarin lokale besturen drie-jaarlijks data registeren over hun lokaal vrijetijdsbeleid.

Deze dataset bevat 14 CSV-bestanden met alle jeugdgerelateerde data verzameld door de lokale vrijetijdsmonitor specifiek voor werkjaar 2017. Deze data komen uit externe authentieke bronnen alsook uit de registratietool waarin lokale besturen drie-jaarlijks data registeren over hun lokaal vrijetijdsbeleid.