Data from: Discovering periodic patterns in historical news

Dzogang F, Lansdall-Welfare T, FindMyPastNewspaperTeam, Cristianini N

Date Published: December 4, 2017

DOI: https://doi.org/10.5061/dryad.nh775

Files in this package

Content in the Dryad Digital Repository is offered "as is." By downloading files, you agree to the Dryad Terms of Service. To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data. CC0 (opens a new window) Open Data (opens a new window)

Title FindMyPast Daily Words
Downloaded 17 times
Description Time Series of Daily Frequencies of 25k words over 87 years in Uk historical newspapers. Release of the daily frequency of the 25K most published words in News content in the United Kingdom between 1st January 1836 and 31st December 1922. The frequency was measured from a representative set of Newspaper across the United Kingdom at the time.
Download README.txt (1.666 Kb)
Download FindMyPastDailyWords.zip (835.4 Mb)
Details View File Details
Title Chronicling America Daily Words
Downloaded 13 times
Description Time Series of Daily Frequencies of 25k words over 87 years in US historical newspapers. Release of the daily frequency of the 25K most published words in News content in the United States between 1st January 1836 and 31st December 1922. The frequency was measured from a representative set of Newspaper across the United States at the time.
Download README.txt (1.674 Kb)
Download ChroniclingAmericaDailyWords.zip (1.801 Gb)
Details View File Details
Title Bristol UK Modern Daily Words
Downloaded 8 times
Description Time Series of Daily Frequencies of 25k words over 6 years in Modern UK online News. Release of the daily frequency of the 25K most published words in News content in the United Kingdom between 1st January 2010 and 31st December 2015. The frequency was measured from a set of Online News outlets across the United Kingdom at the time.
Download README.txt (1.668 Kb)
Download BristolUkModernDailyWords.zip (82.56 Mb)
Details View File Details

When using this data, please cite the original publication:

Dzogang F, Lansdall-Welfare T, Cristianini N, (2016) Discovering periodic patterns in historical news. PLOS ONE 11(11): e0165736. https://doi.org/10.1371/journal.pone.0165736

Additionally, please cite the Dryad data package:

Dzogang F, Lansdall-Welfare T, FindMyPastNewspaperTeam, Cristianini N (2016) Data from: Discovering periodic patterns in historical news. Dryad Digital Repository. https://doi.org/10.5061/dryad.nh775
Cite | Share
Download the data package citation in the following formats:
   RIS (compatible with EndNote, Reference Manager, ProCite, RefWorks)
   BibTex (compatible with BibDesk, LaTeX)

Search for data

Be part of Dryad

We encourage organizations to: