BioVeL: a virtual laboratory for data analysis and modelling in biodiversity science and ecology

BACKGROUND: Making forecasts about biodiversity and giving support to policy relies increasingly on large collections of data held electronically, and on substantial computational capability and capacity to analyse, model, simulate and predict using such data. However, the physically distributed nat...

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Detalhes bibliográficos
Publicado no:BMC Ecol
Main Authors: Hardisty, Alex R., Bacall, Finn, Beard, Niall, Balcázar-Vargas, Maria-Paula, Balech, Bachir, Barcza, Zoltán, Bourlat, Sarah J., De Giovanni, Renato, de Jong, Yde, De Leo, Francesca, Dobor, Laura, Donvito, Giacinto, Fellows, Donal, Guerra, Antonio Fernandez, Ferreira, Nuno, Fetyukova, Yuliya, Fosso, Bruno, Giddy, Jonathan, Goble, Carole, Güntsch, Anton, Haines, Robert, Ernst, Vera Hernández, Hettling, Hannes, Hidy, Dóra, Horváth, Ferenc, Ittzés, Dóra, Ittzés, Péter, Jones, Andrew, Kottmann, Renzo, Kulawik, Robert, Leidenberger, Sonja, Lyytikäinen-Saarenmaa, Päivi, Mathew, Cherian, Morrison, Norman, Nenadic, Aleksandra, de la Hidalga, Abraham Nieva, Obst, Matthias, Oostermeijer, Gerard, Paymal, Elisabeth, Pesole, Graziano, Pinto, Salvatore, Poigné, Axel, Fernandez, Francisco Quevedo, Santamaria, Monica, Saarenmaa, Hannu, Sipos, Gergely, Sylla, Karl-Heinz, Tähtinen, Marko, Vicario, Saverio, Vos, Rutger Aldo, Williams, Alan R., Yilmaz, Pelin
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2016
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Software
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5073428/
https://ncbi.nlm.nih.gov/pubmed/27765035
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12898-016-0103-y
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