This dataset contains Twitter JSON data for Tweets related to Hurricane Ida which was a deadly and distructive Category 4 Atlantic hurricane that made landfall in Lousiana in 2021. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 1,868,703 Tweets make up the combined dataset.

This dataset contains Twitter JSON data for Tweets related to Hurricane Laura that formed August 20, 2020 and dissipated August 29, 2020. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 1,168,178 Tweets make up the combined dataset.

Complete, anonymized dataset of responses to the "Improving Subjects in the Digital Collections with Data" survey. Date, time, IP addresses, and geographic data has been omitted.

This dataset contains Twitter JSON data for Tweets related to Hurricane Dorian which is the most intense tropical cyclone on record to strike the Bahamas, and is regarded as the worst natural disaster in the country's history. This dataset was created using the twarc (https://github.com/DocNow/twarc) package that makes use of Twitter's search API. A total of 3,000,553 Tweets and 84,216 media files make up the combined dataset.

This dataset contains results from survey of academic librarians about experiences in meetings and preferences for meeting components.

This dataset contains Twitter JSON data for Tweets related to the hashtags #Kaepernick7 and ISupportKaepernickBecause This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 573,379 Tweets make up the combined dataset.

This dataset contains Twitter JSON data for Tweets related to Hurricane Harvey and the subsequent flooding along the Texas gulf region. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 7,041,866 Tweets make up the combined dataset.

Dataset generated for a National Science Foundation grant project, "EAGER: Prototyping a Virtue Ethics Game." These files contain the research results of the pre-test and post-test surveys.

Datasets used in the presentation, "Towards Building a Collection of Web Archiving Research Articles." The files included here were used to conduct several Machine Learning classification experiments that result in a corpus of scholarly research articles on the topic of web archiving.