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.

This camera trap dataset is derived from the <a href="https://agouti.eu">Agouti</a> project <em>MICA - Management of Invasive Coypu and muskrAt in Europe</em>. Data have been standardized to Darwin Core using the <a href="https://inbo.github.io/camtraptor/">camtraptor</a> R package and only include observations (and associated media) of animals. Excluded are records that document blank or unclassified media, vehicles and observations of humans. Geospatial coordinates are rounded to 0.001 degrees. The original dataset description follows. <em>MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany</em> 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. The dataset contains camera trap observations of muskrat and coypu, as well as many other observed species. Issues with the dataset can be reported at <a href="https://github.com/inbo/mica-occurrences/issues">https://github.com/inbo/mica-occurrences/issues</a> 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 collected using infrastructure provided by INBO and funded by Research Foundation - Flanders (FWO) as part of the Belgian contribution to LifeWatch. 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. The dataset was published with funding from Stichting NLBIF - Netherlands Biodiversity Information Facility.

MICA - Muskrat occurrences collected by VMM in Flanders, Belgium is an occurrence dataset published by the Flanders Environment Agency (VMM). 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 mainly muskrat and brown rat catches. Here it is published as a standardized Darwin Core Archive and includes for each occurrence record an occurrenceID, date, location, sampling protocol, 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 under a Creative Commons Attribution 4.0 International License (CC-BY 4.0). 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 for the MICA project, which received funding from the European Union’s LIFE Environment sub-programme under the grant agreement LIFE18 NAT/NL/001047.