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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:
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Different human linker histone (H1) variants are expected to have distinct binding modes to the nucleosome. The position and orientation of a number of different H1 globular domains on the nucleosome were investigated through molecular docking using MGLTools and HADDOCK. The nucleosome core and linker DNA in the GH5-chromatosome structure (PDB: 4QLC) were used as a docking template. GH5 (in PDB: 4QLC) was re-docked to this template to test the docking algorithm. Docked and re-docked GH5 compared well. The docking algorithm was further tested by docking the NMR solution structure of the globular domain of chicken H1 (GH1, PDB: 1GHC) to the nucleosome template. The position of docked GH1 on the nucleosome agreed with literature. 
The N-terminal - and globular domain H1x hybrid (NGH1x) was studied using solution NMR in both low (20 mM sodium phosphate, pH 7.0) and high (20 mM sodium phosphate, 1 M sodium perchlorate, pH 7.0) ionic strength conditions (de Wit, H., Vallet, A., Brutscher, B. et al. Biomol NMR Assign (2019) 13: 249. https://doi.org/10.1007/s12104-019-09886-x). These low and high ionic strength structures were docked to the nucleosome template. 
Homology (MODELLER) and ab initio modeling (CS-ROSETTA) were employed to model structures for other human H1 globular domains: GH1.0, GH1.4, GH1oo, and GH1t. The modeled structures were also docked to the nucleosome template.
 All the docking procedures listed above produced 100 models of different energies. In each case, the lowest energy docked model was chosen. The structures of all the H1 globular domains that were docked to the template are given as PDB files (1GHC_lowest_energy.pdb; 2LSO_lowest_energy.pdb; GH5_re-docked_position.pdb; NGH1x_high_salt_NTD.pdb; NGH1x_low_salt_NTD.pdb; modeled_GH1_0_lowest_energy.pdb; modeled_GH1_4_lowest_energy.pdb; modeled_GH1oo_lowest_energy.pdb; modelled_GH1t_lowest_energy.pdb) in the data file. The nucleosome template structure is also given in PDB file format (4QLC_nucleosome_without_GH5.pdb). Finally, the docked models are also given (GH5-chromatosome.pdb; 1GHC-chromatosome.pdb; 2LSO-chromatosome.pdb; GH1_0-chromatosome.pdb; GH1_4-chromatosome.pdb; GH1oo-chromatosome.pdb; GH1t-chromatosome.pdb; NGH1x_no_salt-chromatosome.pdb; NGH1x_salt-chromatosome.pdb). The files are compatible with most molecular graphics software. The file Dockings_modelling_test_and_results.pdf provides the modeling and docking results in figures and tables. A short description of each figure and table is given within the PDF file.
Data Types:
  • Sequencing Data
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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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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:
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This data set contains the following data files: - `biomat-conductivity.csv`: Measured hydraulic conductivities of the soil and biomat - `biomat-growth.csv`: Time for sensor positions (within upper 5 cm) to reach a 2.5% increase in VWC for each site and treatment - `biomat-parameters.csv`: Parameters for biomat growth models - `effluent-data.csv`: Effluent pollutant concentrations - `hydrus-parameters.csv`: Parameters used in HYDRUS modeling - `met-data.csv`: Meteorological data - `sensor-control.csv`: VWC observations for control sensors installed outside the soil treatment unit - `sensor-meta.csv`: Meta data for sensor locations - `site-meta.csv`: Meta data for the research sites - `vwc-predrought.csv`: VWC changes before the onset of the summer 2018 drought - `vwc-postdrought.csv`: VWC changes during the summer 2018 drought A detailed description of the content of each data file is given in the codebook provided with this dataset.
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Application of the Sydney Melancholia Prototype Index (SMPI) in a Brazilian sample of depressive outpatients
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The descriptive data presented in this article is used to measure the level of student’s satisfaction with university facilities which are provided by the university as well as the government. This study involved 280 respondents comprising diploma, bachelor degree and post graduate student at Malaysian Public University. An open-ended question with 10 Likert Scale was distributed to respondents to identify the level of student’s satisfaction with the facilities provided by the university. The one to 10 scale measurements starting with one is Strongly Dissatisfied to 10 is Strongly Satisfied has been used to measure the level of student’s satisfaction towards 14 facilities at the university.
Data Types:
  • Tabular Data
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  • Document
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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"
Data Types:
  • Software/Code
  • Tabular Data
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These data are raw and were obtained after monitoring the fridge temperature (up to two weeks) in households with vulnerable consumers or high risk takers, in five countries.
Data Types:
  • Tabular Data
  • Dataset
The coastal and marine ecosystems of Myanmar have been subject to wide scale overexploitation and anthropogenic stress for decades. This has fundamentally altered their status and composition. These impacts have brought with them substantial impacts to fishing dependent communities and have put at risk the resilience of Myanmar’s marine socio-ecological systems. Unfortunately, data are lacking to be able to understand and illustrate the impact of these changes to local communities and fisheries managers. To fill this gap and to be able to populate a model that explores the effects that management could have for Myanmar’s multispecies fisheries, we assembled a unique database of life history information for over 600 species from fishery-independent surveys and FishBase data. The aim was to compile a comprehensive dataset that can be used in other studies and the list of species represents a catalogue developed from natural history texts dating from the 1800s as well as fishery independent surveys and online data. Additionally, we digitized the catch per hour fishing station data from the 2013 Nansen survey, which was used to calculate the swept area biomass of each species in Myanmar’s waters.
Data Types:
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