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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5073428/
https://www.ncbi.nlm.nih.gov/pubmed/27765035
http://dx.doi.org/10.1186/s12898-016-0103-y

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