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Results of model comparisons in which all the two principal component axes, PC1 and PC2, as well as the individual life history traits and the two surrogates of pathogen-host encounter probabilities are incorporated as explanatory variables for reservoir competence.

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NIAID Data Ecosystem2026-03-09 收录
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https://figshare.com/articles/dataset/_Results_of_model_comparisons_in_which_all_the_two_principal_component_axes_PC1_and_PC2_as_well_as_the_individual_life_history_traits_and_the_two_surrogates_of_pathogen_host_encounter_probabilities_are_incorporated_as_explanatory_variables_for_reservoir_c/1173851
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The coefficients for each explanatory variable, AICc values (corrected for small samples), and model weights are provided for at least the top two models and/or all models with ≥10% AIC weight. Results of model comparisons in which all the two principal component axes, PC1 and PC2, as well as the individual life history traits and the two surrogates of pathogen-host encounter probabilities are incorporated as explanatory variables for reservoir competence.
创建时间:
2014-09-18
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