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This data is used to analyze the structural equation of the article
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Data used for plotting figures in the main context. -- First commit: Nov 26th, 2019 for review. -- Second commit: Apt 1st, 2020 for publication
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Amyotrophic lateral sclerosis is a rapidly progressive neurodegeneration disease,with a hall mark of neuronal inclusions, neuron loss and gliosis. The pathogenesis of ALS remains unclear. And the only two drugs riluzole and edaravone exhibit limited efficacy. We then explored the riluzole treatment in TDP-43 transgenic rats trying to uncover the pathological mechanisms of neuron loss in ALS.
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We conducted a longitudinal study with a randomized control group design over a period of 14 days with 120 participants to investigate whether 3 different app-based interventions (cognitive-behavioural, meditation, informational) can enhance the general well-being (stress, engagement and satisfaction), ICT-specific well-being (technostress creators, digitalisation anxiety, IT resilience) and recovery (detachment) of participants compared to the control group with no intervention. All indicators were measured by using scales with several items in the initial questionnaire (prior to the intervention period) and end questionnaire (after the intervention period). Additionally, stress, satisfaction and detachment were measured by single items in the app-interventions which took place every two days directly after the interventions. The meditation intervention significantly increased general well-being (satisfaction, measured in the app) and recovery (detachment, measured in the questionnaires) compared to the control group but did not improve general stress and ICT-related stress. The cognitive-behavioural intervention significantly increased general well-being (less stress, measured in the app). Contrary to our hypotheses, the informational intervention even increased the general stress level (measured in the questionnaire). None of the interventions changed the level of ICT-related stress.
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The Excel File and Mat File contain the raw and transformed data that we used in our paper 'Financial Wealth, Investment and Sentiment in a Bayesian DSGE Model'.
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Data and code files for manuscript submitted to the Journal of Theoretical Biology.
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The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
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Even though partisan cues are widely recognized as a primary force shaping voter behavior in a referendum, their effect on a decision whether to attend or abstain from voting has not yet been carefully studied. Our analysis of the pre-referendum survey data gathered before the 2015 citizen-initiated referendum in Slovakia leads to two important conclusions: First, parties’ recommendations whether to attend or abstain from voting influence voters’ behavior in a similar fashion as their suggestions for which side to vote for. Moreover, in certain institutional settings, the partisan cues related to mobilization have an even stronger impact on voters than endorsements for who or what to vote for. Second, the provided party recommendations must be unambiguous and clear. Lower clarity cues are reflected in voters’ behavior to a lesser extent. Note: Data is originally collected by the FOCUS Agency (in Slovakia) on demand of the Daily SME. All the essential information could be found in the .xlsx file.
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Data and R-script corresponding to the article of Fayard et al. "Magnitude and direction of parasite-induced phenotypic alterations: a meta-analysis in acanthocephalans"
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This dataset contains the primary data used in: "Multi-epoch X-ray burst modelling: MCMC with large grids of 1D simulations", Johnston et al. (2020). In this work, we interpolated and sampled a grid of 3840 KEPLER burst models using Markov Chain Monte Carlo (MCMC) methods to produce posterior distributions for the system parameters of the "Clocked Burster", GS 1826-238. Provided here is the full burst model grid and the raw MCMC sample chains. More details on the files, and how to load them, are provided in README.md
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