# Project title: Anti-clustering in the national SARS-CoV-2 daily infection counts # Git commit (that produced this dataset): eb46500 # Git repository: https://codeberg.org/boud/subpoisson # Pre-print: https://arXiv.org/abs/abs/2007.11779 # DOI (Zenodo): https://doi.org/10.5281/zenodo.4765705 # # This data set is not copyrightable [1][2][3]. # Attribution would be appreciated. :) # If necessary, you may consider the following to be the copyright terms: # Copyright (C) 2021 Boud Roukema (boud astro.uni.torun.pl) # This dataset is available under Creative Commons Public Domain (CC0). # License URL: https://creativecommons.org/publicdomain/zero/1.0/ # # [1] https://www.gnu.org/licenses/license-list.html#ODbl # [2] https://law.stackexchange.com/questions/11359/can-you-copyright-data # [3] https://web.archive.org/web/20160304123939/http://www.lib.umich.edu/copyright/facts-and-data # # Kendall tau correlation coefficient and significance versus RSF Press Freedom Index # Columns 1-8: pairs (tau, p) for: full, 28-day, 14-day, and 7-day subsequences; # Row 1: phi_i # Row 2: psi_i (i.e. phi_i normalised by the sqrt of the total infection count) -0.118 0.131 -0.126 0.108 -0.148 0.0584 -0.200 0.0108 -0.160 0.0408 -0.157 0.0445 -0.176 0.0249 -0.170 0.0300