41 to 50 of 111 Results
Apr 20, 2022
Malmstedt, Johan, 2022, "Replication Data for: Rhythms of Silence: Digital audio analysis of Swedish Radio Broadcasting, 1980-1989", https://doi.org/10.7910/DVN/BHDTTJ, Harvard Dataverse, V1
Annotated silences from a set of randomized sample weeks of Swedish radio broadcasting, 1980 - 1989. Each file contains timestamps indicating silences throughout the entire broadcasting day. The purpose is to analyze changes in the distribution of silence over time. The associated python script contains the code used for analysis and visualization. |
Feb 26, 2022
Berensmeyer, Ingo; Trurnit, Sonja, 2022, "Post-War British Women Writers and their Cultural Impact: A Quantitative Approach", https://doi.org/10.7910/DVN/7GDPDG, Harvard Dataverse, V1
Contains EXCEL data for the charts in the article. |
Feb 26, 2022
Meier-Vieracker, Simon, 2022, "Replication Data for: "Between consumers and fans. Writing fan reports as a multifunctional evaluation practice"", https://doi.org/10.7910/DVN/GMKLV4, Harvard Dataverse, V1, UNF:6:Kw3QSz9CoioM999LdbKkag== [fileUNF]
This repository contains the raw data and code for all analysis and visualization in the article. See README for details. |
Feb 9, 2022
Kotin, Joshua; Koeser, Rebecca Sutton, 2022, "Replication data and code for “Shakespeare and Company Project Data Sets”", https://doi.org/10.7910/DVN/QXPNLS, Harvard Dataverse, V1, UNF:6:DNVH8V83fuL8X/UaTG9bPA== [fileUNF]
Data and code supporting the article "Shakespeare and Company Project Data Sets," Journal of Cultural Analytics, 2022. Includes a copy of data files from "Shakespeare and Company Project Dataset: Lending Library Members, Books, Events" version 1.2 and a copy of the code notebook used to generate charts and numbers for the article. |
Jan 20, 2022
Thomas, Lindsay; Droge, Abigail, 2022, "Replication Data for: "The Humanities in Public: A Computational Analysis of US National and Campus Newspapers"", https://doi.org/10.7910/DVN/BD9CE8, Harvard Dataverse, V1
This repository contains the code for all analysis and visualization in the article as well as accompanying datasets. The code can be browsed at https://github.com/lcthomas/humanitiespublic. |
Dec 10, 2021
Reiter, Nils; Gius, Evelyn, 2021, "Annotations of Narrative Levels, conducted in the second round of the SANTA Shared Task", https://doi.org/10.7910/DVN/2YQVM6, Harvard Dataverse, V1
These texts were annotated in parallel to evaluate the guidelines participating in the SANTA shared task on narrative level detection. Each text is annotated by two annotators, A1 and A2. For technical details, see README file. |
Nov 19, 2021
Mukamal, Anna; Mendelman, Lisa, 2021, "Replication Data for: The Generative Dissensus of Reading the Feminist Novel, 1995-2020: A Computational Analysis of Interpretive Communities", https://doi.org/10.7910/DVN/4ATJCF, Harvard Dataverse, V1, UNF:6:PtUmKzTyQTgimfOW7sJM8g== [fileUNF]
This repository contains the metadata, code, and results for "The Generative Dissensus of Reading the Feminist Novel, 1995-2020: A Computational Analysis of Interpretive Communities." |
Nov 2, 2021
Karl Berglund; Dahllöf, Mats, 2021, "Replication Data for: "Audiobook Stylistics: Comparing Print and Audio in the Bestselling Segment"", https://doi.org/10.7910/DVN/MK6SXT, Harvard Dataverse, V1
Partial replication data and code for the article "Audiobook Stylistics: Comparing Print and Audio in the Bestselling Segment", for exploring differences in stylistic properties among bestsellers and beststreamers in Swedish fiction. |
Sep 21, 2021
Sanderman, Erin; Verhoeven, Deb; Mandell, Laura, 2021, "Journal of Cultural Analytics Article and Author Data (May 24, 2016-May 12, 2021)", https://doi.org/10.7910/DVN/MEENAS, Harvard Dataverse, V1
This dataset contains reference data taken from all articles, debates and datasets published in the Journal of Cultural Analytics between May 24, 2016 - May 13, 2021, and data describing the authors of these items. The article data includes titles, authors, publication dates, abstracts and article tags. Author data contains the author names, their... |
Jul 21, 2021
Ryan, Yann C.; Ahnert, Sebastian E., 2021, "Replication Data for: "The Measure of the Archive: The Robustness of Network Analysis in Early Modern Correspondence"", https://doi.org/10.7910/DVN/TF3Y0O, Harvard Dataverse, V1, UNF:6:3exRt7o3mf3Sv/9/pjsn6Q== [fileUNF]
Code and text for "The Measure of the Archive: The Robustness of Network Analysis in Early Modern Correspondence" This repository contains the code and data necessary to reproduce results and figures as published in the paper. In this paper we removed progressively larger portions of three early modern correspondence networks (which are included he... |