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

Meetnetten.be - Area count for Eresus sandaliatus 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 area count data for Eresus sandaliatus, one priority spider species. 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 spider webs, 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 5x5 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 INBO Meetnetten.be datasets, see https://www.gbif.org/dataset/search?project_id=meetnetten.be

The “DVW - priority species list of the Flemish Waterways Authority” is a species checklist published by the Research Institute for Nature and Forest (INBO). This checklist covers invasive alien plant species that are of interest for the Flemish Waterways Authority and contains species present or not yet present (alert species) within their operating region. Here it is published as a standardized Darwin Core Archive and includes for each species: the scientific name, kingdom and taxon rank. The dataset can be used for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/inbo/dvw-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 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. 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).

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.

Deze dataset bevat de individuele verbruiksgegevens van 300 geanonimiseerde digitale gasmeters. De digitale gasmeter heeft uurwaarden voor het ganse jaar (geen ongebruikte meters).Uit deze scope halen we 300 gasmeters als sample, verdeeld per type gasmeter (G4 of G6 meter).De verdeling tussen G4 en G6 meters is representatief en gebaseerd op het aantal digitale G4 en G6 meters in bovenstaande redenering. In deze dataset werden enkel EANs weerhouden die gedurende het volledige jaar tot de contract categorie residentieel behoorden.

Meetnetten.be - Transects for Eresus sandaliatus 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 transect data for Eresus sandaliatus, one priority spider species. Here it is published as a standardized Darwin Core Archive and includes for each sampling event an eventID, date, location, locationID and sampling protocol (in the event core) and for each occurrence an occurrenceID, the number of recorded spiderwebs, 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 5x5 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 INBO Meetnetten.be datasets, see https://www.gbif.org/dataset/search?project_id=meetnetten.be

The DAISIE - inventory of alien invasive species in Europe is a species checklist dataset published by the Research Institute for Nature and Forest (INBO) and the Centre for Ecology and Hydrology (CEH). It contains information on 12,104 taxa (mostly species and mostly introduced) occurring in the wild in Europe since 1500. It covers a broad taxonomic spectrum of terrestrial and aquatic free living and parasitic organisms. The collation of the alien species list is the result of the efforts of the DAISIE (http://www.europe-aliens.org/) project partners and more than 300 collaborators from Europe and neighbouring countries, involved in different fields of expertise and organisations. Here the DAISIE 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 vernacular names (in the vernacular names extension), the presence in a specific region, the year of the first introduction (first collection) and/or last assessment/observation in that region, as well as extra information (in the distribution extension), and the habitat, native range, and ecofunctional group (in the description extension). The DAISIE dataset is no longer maintained, but can be used as a historical archive for researching and managing alien plants or compiling regional and national registries of alien species. Issues with the dataset can be reported at https://github.com/trias-project/daisie-checklist We have released this dataset under a Creative Commons Attribution license (CC-BY 4.0). 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. The publication of the checklist to GBIF was supported by the European Cooperation in Science and Technology (COST) action Alien CSI “CA17122 - Increasing understanding of alien species through citizen science” as a Short Term Scientific Mission “Publishing alien species checklist data for Europe through repeatable, open workflows”, with technical support provided by the Research Institute for Nature and Forest (INBO).

Evolutie aantal goedgekeurde AP (Aanmoedigingspremie)-dossiers, geaggregeerd per maand en uitgesplitst volgens de volgende kenmerken: geslacht, leeftijdsklasse, provincie, motief, onderbrekingspercentage, alleenstaande en sector.

Evolutie van het aantal goedgekeurde OC-dossiers (opleidingscheques)  geaggregeerd per maand en uitgesplitst volgens de volgende kenmerken: geslacht, leeftijdsklasse, registratietype en scholingsgraad.

Evolutie van het aantal en het bedrag van de uitbetaalde opleidingscheques geaggregeerd per maand en uitgesplitst volgens de volgende kenmerken: geslacht, leeftijdsklasse, registratietype en scholingsgraad.

Lijst van alle promotororganisaties die voor ESF, AMIF, EGF en YEI projecten subsidies hebben kregen sinds 2007.