Multiple Gaussian model architectures exhibit circadian entropy change.
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https://figshare.com/articles/dataset/Multiple_Gaussian_model_architectures_exhibit_circadian_entropy_change_/22727480
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资源简介：
Parameter estimates (+/- standard errors) for models of syllable distribution entropy by time of day, using different network architectures to estimate syllable distributions. Across architectures, entropy decreased significantly with time of day by similar amounts. All models included random effects in the intercept and slope at the bird (n = 5) and syllable (n = 13) level.
(XLSX)
本数据集提供了采用不同网络架构估算鸣音节（syllable）分布的、基于一日内时段的鸣音节分布熵模型的参数估计值（±标准误）。在各类网络架构中，熵值均随一日内时段的推移呈现显著下降，且下降幅度相近。所有模型均在个体（n=5）与鸣音节（n=13）层级纳入了截距与斜率的随机效应项。（XLSX）
创建时间：
2023-05-01
