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  • 1H-NMR spectroscopy data from 24-hr urine samples from Diets 1 and 4, Dietary Metabotype Score (DMS), blood glucose measurement and urinary calorific value. Data contains quantified values for identified metabolites (in mmol/ml) of 24-hr urine samples for 19 volunteers for the two reference diets in Excel format. For each sample, the DMS, area-under-the-curve (AUC) glucose and calorific value (in J/g) are also given. This data accompanies Garcia-Perez et al. (2020) "Dietary metabotype modelling predicts individual responses to dietary interventions: A feasibility study" Nature Food (submitted, ref.: NATFOOD-19060125C)
    Data Types:
    • Tabular Data
    • Dataset
  • 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.
    Data Types:
    • Software/Code
    • Dataset
  • 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.
    Data Types:
    • Software/Code
    • Dataset
  • 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'.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Data and code files for manuscript submitted to the Journal of Theoretical Biology.
    Data Types:
    • Other
    • Software/Code
    • Dataset
  • Hardware design for build a Step Width System Capture
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Sequencing Data
    • Tabular Data
    • Dataset
    • Document
    • Text
    • File Set
    • Audio
  • Open data and R analysis scripts for the paper as submitted for publication: "Poppelaars, E. S., Klackl, J., Scheepers, DT, Mühlberger, C., & Jonas, E. (2019). Reflecting on existential threats elicits self-reported negative affect but no physiological arousal." A dataset of 171 undergraduate students were randomly allocated to one of four existential threat conditions: mortality salience, freedom restriction, uncontrollability, and uncertainty; or to the non-existential threat condition: social-evaluative threat; or to a control condition (TV salience). Three facets of arousal were measured: positive and negative affect before and after reflection, subjective arousal during baseline and reflection, and physiological activation during baseline and reflection (electrodermal, cardiovascular, and respiratory), as well as personality traits (e.g. trait avoidance and approach, self-esteem). Description of files: - File 'README.txt' contains the description of the files (metadata). - File '20191024_IJMData_brief.sav' contains the raw data. - Files 'EXI.outl.del.RData' contains the complete dataset with missing values, with extra variables calculated, and with outliers deleted. - File 'Codebook_EXI.outl.del.csv' contains a description of all variables in the 'EXI.outl.del.RData' file (metadata). - Files 'EXI.outl.del.imp.RData' and 'EXI.outl.del.imp.extra.RData' contain multiple imputed datasets (without missing values) that can be used to reproduce results from the paper. - File '01_CalculationOfData.R' is an R analysis script that imports the raw data, calculates new variables, and imputes missing data via multiple imputation using the 'predictorMatrixAdj.xlsx' file. - File '02_AnalysisOfImputedData.R' is an R analysis script that calculates descriptive statistics, creates plots, and tests hypotheses using t-tests, Bayesian statistics, and multiple lineair regressions. Also uses the custom functions: 'BF.evidence.R', 'cohen.d.magnitude.R' and 'p.value.sig.R'.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Text
  • 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.
    Data Types:
    • Software/Code
    • Dataset
  • 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.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Supplementary materials for publication JAAD-D-19-02716 (Lim et al. Novel Mutations Identified by Whole Exome Sequencing in Acral Melanoma. J Am Acad Dermatol. 2020) Supplementary Appendix 1: Detailed methods Supplementary Appendix 2: Clinical details of 31 acral melanoma patients including 7 nail apparatus melanoma patients Supplementary Appendix 3: Single nucleotide variations and small indels identified through WES Supplementary Appendix 4: Several genes whose mutations were repeatedly detected in this study and previously reported in the literature in association with melanoma Supplementary Appendix 5: Previous studies on the association of CSMD3 and EHMT1 with malignancies
    Data Types:
    • Tabular Data
    • Dataset
    • Document
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