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Top-selected linear mixed effect model results for both δ13C and δ15N values.

NIAID Data Ecosystem2026-03-12 收录

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https://figshare.com/articles/dataset/Top-selected_linear_mixed_effect_model_results_for_both_sup_13_sup_C_and_sup_15_sup_N_values_/13164182 数据链接链接失效反馈

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Top-selected linear mixed effect model results for both δ13C and δ15N values.

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创建时间：

2020-10-29

植物间竞争与促进

稳定同位素生态学

1. Plant–plant interactions shape the structure and composition of plant communities, but shifts in interaction outcomes might occur in the face of ongoing climate change. 2. We assessed the influence

NIAID Data Ecosystem80

Global test of Eltonian niche conservatism of nonnative freshwater fish species between their native and introduced ranges

淡水鱼生态位保守性

稳定同位素生态学

Despite growing evidence that biotic interactions limit the distribution of species and their potential redistribution under climate change, the recent surge of interest in niche conservatism has pred

DataONE2020-06-24 更新70

Comparison of linear regression models describing the relationship between RBC δ13C and δ15N and geographic location of winter non-breeding foraging areas for the 14 loggerheads fitted with satellite tags.

稳定同位素生态学

海龟迁徙行为

Model selection used Akaike’s Information Criterion, corrected for small sample sizes (AICc). Abbreviations are as follow: RSS = residual sum of squares, N = number of observations, K = number of para

Figshare2015-12-02 更新30

Table of the sulphur isotope values of humans and fauna from the study sites.

古人类饮食

稳定同位素生态学

Also included are bone collagen carbon and nitrogen isotope values.

NIAID Data Ecosystem80

Stable carbon isotope tree-ring records (Coppermine River, Nunavut, Canada) 1900- 2003

树轮气候学

稳定同位素生态学

Carbon isotope discrimination records of white spruce (Picea glauca [Moench] Voss) trees sampled along the Coppermine River (67º23’N / 115º92’W, 210 m a.s.l.) in 2004. When using this dataset, please

DataCite Commons2023-08-24 更新60

Top-selected linear mixed effect model results for both δ<sup>13</sup>C and δ<sup>15</sup>N values.

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