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Dataset Open Access

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

Cartuyvels, Emma; Adriaens, Tim; Baert, Kristof; Brosens, Dimitri; Casaer, Jim; Devisscher, Sander; Donckers, Dennis; Fritz, Heiko; Huysentruyt, Frank; Lodewijkx, Jan; Maistrelli, Claudia; Neukermans, Axel; Slootmaekers, Dan; Van der beeck, Danny; Desmet, Peter


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    <subfield code="a">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.</subfield>
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    <subfield code="a">MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany</subfield>
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    <subfield code="a">&lt;p&gt;&lt;em&gt;MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany&lt;/em&gt; is a camera trap observations dataset published by the &lt;a href="https://inbo.be"&gt;Research Institute of Nature and Forest (INBO)&lt;/a&gt;. It is part of the &lt;a href="https://lifemica.eu/"&gt;LIFE project MICA&lt;/a&gt;, 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.&lt;/p&gt;

&lt;p&gt;Data in this package are exported from the camera trap management system Agouti (&lt;a href="https://agouti.eu"&gt;https://agouti.eu&lt;/a&gt;) and formatted as a &lt;a href="https://tdwg.github.io/camtrap-dp/"&gt;Camera Trap Data Package (Camtrap DP)&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Files&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Files are structured as a &lt;a href="https://specs.frictionlessdata.io/data-package/"&gt;Frictionless Data Package&lt;/a&gt;. You can access all data in R via &lt;code&gt;https://zenodo.org/record/4893244/files/datapackage.json&lt;/code&gt; using &lt;a href="https://frictionlessdata.github.io/frictionless-r/"&gt;frictionless&lt;/a&gt;.&lt;/p&gt;

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	&lt;li&gt;&lt;strong&gt;datapackage.json&lt;/strong&gt;: technical description of the data files.&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;deployments.csv&lt;/strong&gt;: camera trap deployments. Includes &lt;code&gt;deployment_id&lt;/code&gt;, start, end, location and camera setup information.&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;multimedia.csv&lt;/strong&gt;: multimedia files (images/videos) captured by the camera traps. Associated with deployments (&lt;code&gt;deployment_id&lt;/code&gt;) and organized in sequences (&lt;code&gt;sequence_id&lt;/code&gt;). Includes timestamp and file path.&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;observations.csv&lt;/strong&gt;: observations based on the multimedia files. Associated with deployments (&lt;code&gt;deployment_id&lt;/code&gt;) and sequences (&lt;code&gt;sequence_id&lt;/code&gt;). Observations can mark non-animal events (camera setup, human, empty) or one or more animal observations (&lt;code&gt;observation_type&lt;/code&gt; = &lt;code&gt;animal&lt;/code&gt;) of a certain taxon, count, age, sex, behaviour and/or individual.&lt;/li&gt;
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