Application of a Generalized Additive Mixed Model (GAMM) in Timeseries Study of Dairy Cows’ Behavior Under Hot Summer Conditions

NIAID Data Ecosystem2026-05-02 收录

奶牛热应激生理

时序建模

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Supplemental Tables

创建时间：

2024-11-25

MNIST预测数据集

视频帧预测

时序建模

该数据集在视频预测与时空序列建模领域具有基准评估价值。它通过 ConvLSTM 模型生成的长达 64 帧的高维数据，为衡量深度学习算法捕捉复杂非线性动力学特征的能力提供了量化依据。在数据科学研究中，该数据集不仅可用于评估模型在减少累积误差（即“预测漂移”）方面的鲁棒性，还可作为训练更高级生成式模型（如生成对抗网络 GANs 或扩散模型）的对照基准。它能够帮助研究人员深入探讨时空解耦、运动一致性以及

国家基础学科公共科学数据中心120

Accounting for time series errors in partially linear model with single- or multiple-run

时序建模

磁共振影像分析

This paper concerns statistical estimation of the partially linear model (PLM) for time course measurements, which are temporally correlated and allow multiple-run for repeated measurements to enhance

NIAID Data Ecosystem70

Appendix F. Results from GLMMs to predict number of feeding events per 6-hour time bin.

进食行为预测

时序建模

Results from GLMMs to predict number of feeding events per 6-hour time bin.

NIAID Data Ecosystem50

Week-Mobility-Network

移动性分析

时序建模

Movement between locations

NIAID Data Ecosystem110

Identification of Target Genes and Pathways Related to Heat Tolerance in Chinese Holstein Cows. Identification of Target Genes and Pathways Related to Heat Tolerance in Chinese Holstein Cows

奶牛热应激生理

基因表达谱分析

We performed gene expression profiling analysis using data obtained from miRNA-seq of 12 cows with different heat tolerance. Overall design: 12 dairy cows were divided into heat-resistant and heat-str

NIAID Data Ecosystem50

Application of a Generalized Additive Mixed Model (GAMM) in Timeseries Study of Dairy Cows’ Behavior Under Hot Summer Conditions

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