Quantifying an online wildlife trade using a web crawler

Autor: Masters, Susanne, Anthoons, Bastien, Madesis, Panagiotis, G. Saroja, Seethapathy, Schermer, Maarten, Gerritsen, Wilfred, Karahan, Arzu, Verdoes, Rick, Schwallier, Rachel, van Andel, Tinde, de Boer, Hugo, Gravendeel, Barbara

Publikováno v: Masters, Susanne Anthoons, Bastien Madesis, Panagiotis G. Saroja, Seethapathy Schermer, Maarten Gerritsen, Wilfred Karahan, Arzu Verdoes, Rick Schwallier, Rachel van Andel, Tinde de Boer, Hugo Gravendeel, Barbara . Quantifying an online wildlife trade using a web crawler. Biodiversity and Conservation. 2022, 31, 855-869
Biodiversity and Conservation

Externí odkaz: http://hdl.handle.net/10852/101257

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Using Deep Learning in Collection Management to Reduce the Taxonomist's Workload.

Autor: Schermer, Maarten, Hogeweg, Laurens, Caspers, Max

Publikováno v: Biodiversity Information Science & Standards; 2018, p1-2, 2p

Supporting citizen scientists with automatic species identification using deep learning image recognition models.

Autor: Schermer, Maarten, Hogeweg, Laurens

Publikováno v: Biodiversity Information Science & Standards; 2018, p1-2, 2p

Data Privacy Handbook

Autor: Research Data Management Support

This is the first release of the Data Privacy Handbook. The Data Privacy Handbook is a practical guide on handling personal data in scientific research, primarily written for Utrecht University researchers and research support staff in the Netherland

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d225f755932b399c25f88524da3c84