This dataset presents the mental health and self-efficacy of Vietnamese female students who have learned online during the COVID-19 pandemic has spread. The questionnaire was proposed based on three scales including the Fear of Covid-19 scale, the mental health scale, a...

This dataset presents the mental health and self-efficacy of Vietnamese female students who have learned online during the COVID-19 pandemic has spread. The questionnaire was proposed based on three scales including the Fear of Covid-19 scale, the mental health scale, a...

Participants were drawn from teacher education programs within a University in the Republic of Ireland. These included undergraduate students who were enrolled in concurrent teacher education degree programs across multiple disciplines (Technology, Sciences, Physical Ed...

This data set involves the instruments used in the research of video blogging and learning engagement in an online speaking course during the COVID-19 pandemic.

<p>Tweets about COVID-19 from sources in British Columbia. This dataset includes tweets from government officials, health authorities and journalists. The tweet IDs were collected using Documenting the Now's Twarc library (https://github.com/DocNow/twarc).</p> <p>The da...

COVID-19 has dramatically changed the conventional rhythm of life. A pressing demand is to the adaptation of various new measures including curfews and the restrictions on mass mobility. These conditions managed to alter the long-established the daily course of life. Li...

This dataset is a collection of articles about Covid-19 published online from May 2020 to September 2020 and stored as a CSV file. The primary providers of these articles are 10news.com, cnn.com, and foxla.com. The dataset contains two columns (text and sentiment). The ...

This dataset has been created to allow comparative studies of abstracts associated with preprints issued in response to the COVID-19 pandemic (from 01/01/2020 to 12/04/2020) relative to abstracts produced in 2019, the closest pre-pandemic period. The dataset has 2 files...

The urgency to respond to the COVID-19 outbreak has driven an unprecedented surge in preprints that aim to speed up knowledge dissemination as they are available much sooner than peer-reviewed publications. In this study we consider abstracts of research articles and pr...

This dataset consists of a collection of true and fake news related to COVID-19. The dataset consists of news between the period of December 2019- July 2020.