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Towards a global understanding of the drivers of marine and terrestrial biodiversity
Understanding the distribution of life’s variety has driven naturalists and scientists for centuries, yet this has been constrained both by the available data and the models needed for their analysis. Here we compiled data for over 67,000 marine and terrestrial species and used artificial neural net...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , , , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7001915/ https://ncbi.nlm.nih.gov/pubmed/32023269 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228065 |
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