Authors: K��ljalg Urmas, Abarenkov Kessy, Nilsson R. Henrik, Larsson Karl-Henrik, Aas Anders Bj��rnsgard, Adams Rachel, Alves Artur, Ammirati Joseph F., Arnold A. Elizabeth, Bahram Mohammad, Bengtsson-Palme Johan, Berlin Anna, Botnen Synn��ve, Bourlat Sarah, Cheeke Tanya, Dima B��lint, Drenkhan Rein, Duarte Camila, Due��as Margarita, Eberhardt Ursula, Friberg Hanna, Fr��slev Tobias G., Garnica Sigisfredo, Geml J��zsef, 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 Bj��rn, Lodge Deborah J., Lumbsch Helge Thorsten, Mart��n Esteban Mar��a Paz, Meyer Wieland, Miettinen Otto, Nguyen Nhu, Niskanen Tuula, Oono Ryoko, ��pik Maarja, Ordynets Alexander, Paw��owska Julia, Peintner Ursula, Pereira Olinto Liparini, Pinho Danilo Batista, P��ldmaa 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

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 it... (read more)

Venue: Datacite

Type: Dataset

DOI: 10.15156/bio/sh279840.07fu