Authors: Kõljalg Urmas, Abarenkov Kessy, Nilsson R. Henrik, Larsson Karl-Henrik, Aas Anders Bjørnsgard, Adams Rachel, Alves Artur, Ammirati Joseph F., Arnold A. Elizabeth, Bahram Mohammad, Bengtsson-Palme Johan, Berlin Anna, Botnen Synnøve, Bourlat Sarah, Cheeke Tanya, Dima Bálint, Drenkhan Rein, Duarte Camila, Dueñas Margarita, Eberhardt Ursula, Friberg Hanna, Frøslev Tobias G., Garnica Sigisfredo, Geml József, Ghobad-Nejhad Masoomeh, Grebenc Tine, Griffith Gareth W., Hampe Felix, Kennedy Peter, Khomich Maryia, Kohout Petr, Kollom Anu, Larsson Ellen, Laszlo Irinyi, Leavitt Steven, Liimatainen Kare, Lindahl Björn, Lodge Deborah J., Lumbsch Helge Thorsten, Martín Esteban María Paz, Meyer Wieland, Miettinen Otto, Nguyen Nhu, Niskanen Tuula, Oono Ryoko, Öpik Maarja, Ordynets Alexander, Pawłowska Julia, Peintner Ursula, Pereira Olinto Liparini, Pinho Danilo Batista, Põldmaa Kadri, Runnel Kadri, Ryberg Martin, Saar Irja, Sanli Kemal, Scott James, Spirin Viacheslav, Suija Ave, Svantesson Sten, Tadych Mariusz, Takamatsu Susumu, Tamm Heidi, Taylor AFS., Tedersoo Leho, Telleria M.T., Udayanga Dhanushka, Unterseher Martin, Volobuev Sergey, Weiss Michael, Wurzbacher Christian

Venue: Datacite

Type: Dataset

Abstract: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and... (read more)

Concepts: N/A

DOI: 10.15156/bio/sh372687.07fu