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Raw data of HIGD2A-BioID2 experiment. Total spectrum count for 3 independent experiments for HIGD2A-BioID2 and 3 independent experiments for the control BioID targeted to the mitochondria (MTS-BioID2).
Data Types:
  • Tabular Data
  • Dataset
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
Mesenchymal stem/stromal cells (MSC) have immunomodulatory properties, studied in a wide range of diseases. Validated Quality Controls must be able to confirm this activity in the context of clinical trials. This study presents the validation of a method, quantifying the ability of MSC to inhibit T cell proliferation according to the ICH Q2 standard. Peripheral blood mononuclear cells (PBMC) from a bank of ten donors, labeled with CellTrace Violet (CTV), were co-cultured with MSC at seven different ratios for seven days. Flow cytometry analysis was used to obtain the percentage of division (PD) of T cells. Two parameters were calculated: the percentage of inhibition (PI) of T cell proliferation, for each ratio X, determined using the following formula PI ratio X = (PD control – PD ratio X) / PD control, and the corresponding area under the curve (AUC). The validation of two different CTV-PBMC banks did not show any statistical difference and demonstrated stability over 509 days of storage. Analysis of repeatability and reproducibility showed a standard deviation (SD) of 6.1% and 4.6%, respectively. Robustness analysis, corresponding to the ability of a method to resist small but deliberate variations in its parameters, for PBMC, and MSC, did not present any difference. The assay was linear on the exploited range and permitted to distinguish MSC presenting different ranges of inhibition activity. This quantification method of MSC immunomodulatory activity displayed low analytical variability, sufficient robustness, and no inter-bank variability of PBMC. Therefore, it could be used for MSC manufacturing batch qualification.
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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'.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
SVR-LSM Code and Results for Wiesen, Karnath & Sperber: Disconnection somewhere down the line: Multivariate lesion-symptom mapping of the line bisection error.
Data Types:
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Hardware design for build a Step Width System Capture
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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'.
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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.
Data Types:
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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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  • Document
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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  • Text
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