Dataset exploited for the development and validation of automated cyanobacteria quantification algorithm, ACQUA.

Gandola, Emanuele; Antonioli, Manuela; Traficante, Alessio; Franceschini, Simone; Scardi, Michele; Congestri, Roberta

Gandola, Emanuele; Antonioli, Manuela; Traficante, Alessio; Franceschini, Simone; Scardi, Michele; Congestri, Roberta.

Afiliação

Gandola E; University of Rome Tor Vergata, Department of Biology, Via della Ricerca Scientifica 1, 00133 Rome, Italy; Department of Mathematics, University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Antonioli M; University of Rome Tor Vergata, Department of Biology, Via della Ricerca Scientifica 1, 00133 Rome, Italy; National Institute for Infectious Diseases 'L. Spallanzani' IRCCS, Via Portuense, 292, 00149 Rome, Italy; Freiburg Institute for Advanced Studies (FRIAS), University of Freiburg, Freiburg 79104
Traficante A; The University of Manchester, Jodrell Bank Centre for Astrophysics, School of Physics and Astronomy, Manchester M13 9PL, UK.
Franceschini S; University of Rome Tor Vergata, Department of Biology, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Scardi M; University of Rome Tor Vergata, Department of Biology, Via della Ricerca Scientifica 1, 00133 Rome, Italy.
Congestri R; University of Rome Tor Vergata, Department of Biology, Via della Ricerca Scientifica 1, 00133 Rome, Italy; AlgaRes, Spin off of University of Rome Tor Vergata, Via della Ricerca Scientifica 1, 00133 Rome, Italy.

Data Brief ; 8: 817-23, 2016 Sep.

Article em En | MEDLINE | ID: mdl-27500194

Palavras-chave

Algorithm; Comparing data; Deoising; Filamentous cyanobacteria; Natural sample

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Data Brief Ano de publicação: 2016 Tipo de documento: Article País de afiliação: Itália

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