Social Sciences
The dataset comprises raw data to validate methods for reliable data collection. We proposed the data collection methods in a path to assess digital healthcare apps. To validate the methods, we conducted experiments in Amazon Mechanical Turk (MTurk), and then we showed that the methods have a significant meaning based on statistical tests.
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This dataset was collected for research conducted within the project AN.ON-Next funded by the German Federal Ministry of Education and Research (BMBF) with grant number: 16KIS0371.
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This dataset was collected for research conducted within the project AN.ON-Next funded by the German Federal Ministry of Education and Research (BMBF) with grant number: 16KIS0371.
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Dataset consists of various open GIS data from the Netherlands as Population Cores, Neighbhourhoods, Land Use, Neighbourhoods, Energy Atlas, OpenStreetMaps, openchargemap and charging stations. The data was transformed for buffers with 350m around each charging stations. The response variable is binary popularity of a charging pool.
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Blended Learning has been widely used in current basic education as a new teaching model, and how to improve the acceptance of students in Blended Learning is a hot issue that needs to be solved in the practice of teaching.
There is a paper for the dataset:
Primary science curriculum student acceptance of blended learning: structural equation modeling and visual analytics
doi: 10.1007/s40692-021-00206-8
Full Text: https://rdcu.be/cAooZ
Abstract
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This dataset details the raw data obtained from simulation experiments of heritage tourism. It details several parameter sweeps and experiments done to characterise an agent-based model created for the purpose of exploring the role of communication strategies and topology in determining the transformation of cultural systems.
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This dataset provides a labeled fake news data, which can be used to have a deep study of fake news.
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The data set is composed of 2,285 definitions gathered from the Urban Dictionary platform from 1999 to 2006. The data was classified as misogynistic and non- misogynistic by three independent researchers with domain knowledge. The data set is available in public repository in a table containing two columns: the text-based definition from Urban Dictionary and its respective classification (1 for misogynistic and 0 for non- misogynistic).
Content warning: sexual violence, extreme misogyny, scatology, ‘scat porn’
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