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MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany
Citation
Cartuyvels E, Adriaens T, Baert K, Baert W, Boiten G, Brosens D, Casaer J, De Boer A, Debrabandere M, Devisscher S, Donckers D, Dupont S, Franceus W, Fritz H, Fromme L, Gethöffer F, Herbots C, Huysentruyt F, Kehl L, Letheren L, Liebgott L, Liefting Y, Lodewijkx J, Maistrelli C, Matthies B, Meijvisch K, Moerkens D, Neukermans A, Neukermans B, Ronsijn J, Schamp K, Slootmaekers D, Van der beeck D, Desmet P (2022): MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany. v1.10. Research Institute for Nature and Forest (INBO). Dataset/Occurrence. https://doi.org/10.5281/zenodo.4893244

Access data
Archived data
Availability: CC0 To the extent possible under law, the person who associated CC0 with this dataset has waived all copyright and related or neighboring rights to this dataset.

Description
This camera trap dataset is derived from the Agouti project MICA - Management of Invasive Coypu and muskrAt in Europe. Data have been standardized to Darwin Core using the camtraptor 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. more

MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany 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 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.


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.


Scope
Themes:
Biology > Ecology - biodiversity, Biology > Mammals
Keywords:
Fresh water, Terrestrial, Awareness, Cameras, Damage, Damage prevention, Flood control, Flood protection, Introduced species, Invasive species, Observation, Pest control, Belgium, Germany, Netherlands, Myocastor coypus (Molina, 1782), , Rodentia

Geographical coverage
Belgium [Marine Regions]
Germany [Marine Regions]
Netherlands [Marine Regions]

Temporal coverage
19 September 2019 - 3 October 2022

Taxonomic coverage
Myocastor coypus (Molina, 1782) [WoRMS]
Ondatra zibethicus
Rodentia [WoRMS]

Parameter
Occurrence of biota

Contributors
Landwirtschaftskammer Niedersachsen, moredata creator
Unie van Waterschappen, moredata creator
University of Veterinary Medicine Hannover (TiHo), moredata creator
Vlaamse overheid; Beleidsdomein Leefmilieu, Natuur en Energie; Vlaamse Milieumaatschappij (VMM), moredata creator
Vlaamse overheid; Beleidsdomein Omgeving; Instituut voor Natuur- en Bosonderzoek (INBO), moredata creator
Wageningen University and Research Centre (WUR), moredata creator
Wetterskip Fryslân, moredata creator


Dataset status: In Progress
Data type: Data
Data origin: Monitoring
Metadatarecord created: 2021-07-20
Information last updated: 2022-11-22
All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy