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4 results for “coypu”
MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany
<p><em>MICA - Muskrat and coypu camera trap observations in Belgium, the Netherlands and Germany</em> is a camera trap observations dataset published by the <a href="https://inbo.be">Research Institute of Nature and Forest (INBO)</a>. It is part of the <a href="https://lifemica.eu/">LIFE project MICA</a>, 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.</p> <p>Data in this package are exported from the camera trap management system Agouti (<a href="https://agouti.eu">https://agouti.eu</a>) and formatted as a <a href="https://tdwg.github.io/camtrap-dp/">Camera Trap Data Package (Camtrap DP)</a>.</p> <p><strong>Files</strong></p> <p>Files are structured as a <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Package</a>. You can access all data in R via <code>https://zenodo.org/record/5590881/files/datapackage.json</code> using <a href="https://frictionlessdata.github.io/frictionless-r/">frictionless</a>.</p> <ul> <li><strong>datapackage.json</strong>: technical description of the data files.</li> <li><strong>deployments.csv</strong>: camera trap deployments. Includes <code>deploymentID</code>, start, end, location and camera setup information.</li> <li><strong>media.csv</strong>: media files (images/videos) captured by the camera traps. Associated with deployments (<code>deploymentID</code>) and organized in sequences (<code>sequenceID</code>). Includes timestamp and file path.</li> <li><strong>observations.csv</strong>: observations based on the media files. Associated with deployments (<code>deploymentID</code>) and sequences (<code>sequenceID</code>). Observations can mark non-animal events (camera setup, human, blank) or one or more animal observations (<code>observationType</code> = <code>animal</code>) of a certain taxon, count, age, sex, behaviour and/or individual.</li> </ul>
On following pages: 14. White-spined Spiny-rat (Trinomys albispinus); 15. Elias's Spiny-rat (Trinomys elias); 16. Rigid-spined Atlantic Spiny-rat (Trinomys paratus); 17. Yonenaga's Spiny-rat (Trinomys yonenagae), 18. Elegant-spined Atlantic Spiny-rat (Trinomys setosus); 19. Moojen's Spiny-rat (Trinomys moojeni); 20. Pau Brasil Spiny-rat (Trinomys mirapitanga); 21. Rio de Janeiro Spiny-rat (Trinomys dimidiatus); 22. Sao Paulo Spiny-rat (Trinomys iheringi); 23. Gracile Atlantic Spiny-rat (Trinomys gratiosus); 24. Sao Lourencgo Punare (Thrichomys laurentius); 25. Jacobina Punare (Thrichomys inermis); 26. Lagoa Santa Punare (Thrichomys apereoides); 27. Pantanal Punare (Thrichomys pachyurus); 28. Foster's Punare (Thrichomys fosteri); 29. Painted Tree-rat (Callistomys pictus); 30. Coypu (Myocastor coypus);, 31. Armored Rat (Hoplomys gymnurus). in Echimyidae
On following pages: 14. White-spined Spiny-rat (Trinomys albispinus); 15. Elias's Spiny-rat (Trinomys elias); 16. Rigid-spined Atlantic Spiny-rat (Trinomys paratus); 17. Yonenaga's Spiny-rat (Trinomys yonenagae), 18. Elegant-spined Atlantic Spiny-rat (Trinomys setosus); 19. Moojen's Spiny-rat (Trinomys moojeni); 20. Pau Brasil Spiny-rat (Trinomys mirapitanga); 21. Rio de Janeiro Spiny-rat (Trinomys dimidiatus); 22. Sao Paulo Spiny-rat (Trinomys iheringi); 23. Gracile Atlantic Spiny-rat (Trinomys gratiosus); 24. Sao Lourencgo Punare (Thrichomys laurentius); 25. Jacobina Punare (Thrichomys inermis); 26. Lagoa Santa Punare (Thrichomys apereoides); 27. Pantanal Punare (Thrichomys pachyurus); 28. Foster's Punare (Thrichomys fosteri); 29. Painted Tree-rat (Callistomys pictus); 30. Coypu (Myocastor coypus);, 31. Armored Rat (Hoplomys gymnurus).
Supplementary material 1 from: Jarnevich CS, Young NE, Sheffels TR, Carter J, Sytsma MD, Talbert C (2017) Evaluating simplistic methods to understand current distributions and forecast distribution changes under climate change scenarios: an example with coypu (Myocastor coypus). NeoBiota 32: 107-125. https://doi.org/10.3897/neobiota.32.8884
Supplementary figures and table : Explanation note: Supporting information including global location data used to create models (Supplementary figure 1), global distribution of tropical environments (Supplementary figure 2), and Global circulation model climate data used for forecasts of Myocastor coypus distributions (Supplementary table 1).
Supplementary material 1 from: Schertler A, Rabitsch W, Moser D, Wessely J, Essl F (2020) The potential current distribution of the coypu (Myocastor coypus) in Europe and climate change induced shifts in the near future. NeoBiota 58: 129-160. https://doi.org/10.3897/neobiota.58.33118
Supplementary materials
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