Data concerning statistical relation between obliquity and Dansgaard–Oeschger events

• Published in: Data in Brief
• Main Authors: Jia Deng, Zhaohua Wu, Min Zhang, Norden E. Huang, Shizhu Wang, Fangli Qiao
• Format: Article in Journal/Newspaper
• Language: English
• Published: Elsevier 2019
• Subjects: Computer applications to medicine. Medical informatics; R858-859.7; Science (General); Q1-390; Holo; Weaver; Dansgaard-Oeschger events
• Online Access: https://doi.org/10.1016/j.dib.2019.103727; https://doaj.org/article/0b2005824cb74467b313f0d3ec8b47a3

Data presented are related to the research article entitled “Using Holo-Hilbert spectral analysis to quantify the modulation of Dansgaard-Oeschger events by obliquity” (J. Deng et al., 2018). The datasets in Deng et al. (2018) are analyzed on the foundation of ensemble empirical mode decomposition (EEMD) (Z.H. Wu and N.E. Huang, 2009), and reveal more occurrences of Dansgaard-Oeschger (DO) events in the decreasing phase of obliquity. Here, we report the number of significant high Shannon entropy (SE) (C.E. Shannon and W. Weaver, 1949) of 95% significance level of DO events in the increasing and decreasing phases of obliquity, respectively. First, the proxy time series are filtered by EEMD to obtain DO events. Then, the time-varying SE of DO modes are calculated on the basis of principle of histogram. The 95% significance level is evaluated through surrogate data (T. Schreiber and A. Schmitz, 1996). Finally, a comparison between the numbers of SE values that are larger than 95% significance level in the increasing and decreasing phases of obliquity, respectively, is reported. Keywords: Dansgaard–Oeschger events, Obliquity, Time-varying Shannon entropy, Surrogate data