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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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Bibliographic Details
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
Format: Online Article Text
Language:English
Published: BioMed Central 2016
Subjects:
Online Access: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