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This data contains four variables, childhood psychological maltreatment, immorality, empathy and cyberbullying perpetration attitudes
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The repository includes the dataset for the manuscript entitled A calibration framework for high-resolution hydrological models using a multiresolution and heterogeneous strategy submitted to WRR. Currently, we only deposit the data for plotting Fig4. Upon acceptance, we will store all the data in this repository.
Data Types:
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  • Document
  • Text
This data is tabulated raw data using the SPSS program from a questionnaire (from 338 respondents) measuring each variable (innovation mindset, knowledge management, organizational learning, organizational culture, organizational forgetting and competitive intelligence).
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  • Document
Normalised wound area showing migration of NIH3T3 cells upon exosome treatment. Migration rate showing enhanced migration of NIH3T3 cells upon exosome treatment. MTT assay of HaCaT cells on PUAO and PUAO-CPO scaffolds. MTT assay of NIH3T3 cells on PUAO and PUAO-CPO scaffolds. MTT assay of ADSCs cells on PUAO and PUAO-CPO scaffolds
Data Types:
  • Software/Code
  • Dataset
These files contained lab notes on the preparation of hot-pressed plant-based biopolymers and, raw, filtered and analyzed data on bending properties, thermal and structural analysis.
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This file contains codes necessary to replicate the results in the paper „Measuring Intra-generational Redistribution in PAYG Pension Schemes“ by Jonas Klos, Tim Krieger, and Sven Stöwhase.
Data Types:
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  • Dataset
The data shows the effects of a sadness induction on the Rubber Hand Illusion. Our experiment was composed of three experimental groups. One group saw neutral pictures in the beginning of each trial, one group saw subliminally presented sad pictures and one group saw supraliminally presented sad pictures. Following the picture presentation, the Rubber Hand Illusion task was performed. Before and after the stimulation, the proprioceptive estimation of the left index finger was taken and a questionnaire on the subjective illusion strength (Botvinick & Cohen, 1998) was surveyed after the post-proprioception measurement. We performed the picture task and the rubber hand illusion task 4 times, each time applying a different stroking style. Stroking was carried out either synchronously (SY) or asynchronously (AS) combined with either slow (3cm/s) (SL) or fast (30cm/s) (FA) stroking speed. At the baseline and after each picture task, participants completed the SAM scale (Bradley & Lang, 1994). In the end, demographical information was surveyed, as well as a questionnaire on dissociative symptoms (FDS; Freyberger et al., 1999).
Data Types:
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  • Dataset
Overview: This study uses a set of criteria to examine cold air outbreaks (CAOs) across the globe from 1979 – 2018 and to determine how CAOs have changed over the last 40 years. We found CAOs occur most frequently in the Northern Hemisphere, with as many as 8 CAO days per year in North America and Eurasia. CAOs were found to have decreased in size, intensity, frequency, and duration across much of the globe, with the largest decreases in Alaska, Canada, and the North Atlantic, while an increase in CAOs was observed in Eastern Europe, Central Eurasia, and the Southern Ocean. Early and late winter CAOs have also become much less frequent in most regions. Data Used: Two-meter temperature (T2m) data was acquired from the NCEP/NCAR (NNR) climate reanalysis dataset (National Center for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) and the recently released ERA5 reanalysis data set from the European Center for Medium-Range Weather Forecasts (ECMWF). ERA5 T2m was acquired at a 1 degree spatial resolution on an hourly timescale and converted to daily mean T2m while NNR daily mean T2m was acquired at a T62 gaussian grid (192 longitude and 94 latitude) spatial resolution from 1979 - 2018. CAO Methods: Three criteria for a CAO were designed to capture the most extreme CAOs while being flexible enough to capture the entire evolution of the event. 1.) Magnitude: The magnitude criterion requires the daily mean temperature to be at or below the 2.5th percentile threshold of deseasonalized 2-meter temperature (T2m). The daily mean T2m must also be at or below 20 degrees Celsius with a departure from the climatological mean of at least -2 degrees Celsius. 2.) Spatial Extent: The daily spatial extent, which is a summation of all contiguous grid points that meet the magnitude criteria, must be at least 1,000,000 km2. 3.) Duration: The duration criterion requires the magnitude criterion for the entire CAO be met for at least five consecutive days and begins on the first day in which the spatial extent criterion is met and ends on the last day the spatial extent criterion is met. How to use and interpret data: There are 3 files: 1.) and excel file of all CAOs for both the NNR and ERA5 (separate tabs). Because the ERA5 data is the primary data set used in this study it has two additional columns of data, one for the region of the CAO and one for the hemisphere of the CAO. 2.) A .mat file (MATLAB) of all the ERA5 CAO data. The column headers are as follows: [1. daily data for each CAO event, 2. onset date, 3. duration, 4. Mean z-score 5. mean z-score per gridpoint, 6. total duration per gridpoint 7. daily z-score per gridpoint 8. temperature anomaly each day, 9. Region 10. hemisphere] 3.) A similar .mat file, but for the NNR CAOs. Differences: columns 4 and 5 and 11 in the NNR file are not in the ERA5 file (shift headers). These were used in calculations but omitted from ERA5 file for size restraints.
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  • Tabular Data
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  • File Set
Codes to produce the data in the figures in the main paper. These codes utilise the theory established in the methods and Supplemental material. Codes are written in Python (Jupyter) and Wolfram Mathematica notebooks.
Data Types:
  • Software/Code
  • Dataset
In a scenario of expanding competition between tourist destinations, DMOs face the challenge of positioning them attractively. To this end, these organizations can make use of various communication marketing strategies, including social media, platforms whose effectiveness is measured through engagement. From these channels originate the digital influencers, which in recent years have gained greater academic and marketing prominence. Given this theoretical foundation, this research aimed to measure the degree of engagement in publications with digital influencers on Instagram of Brazilian DMOs, with time frame between December / 17 and December / 18. To achieve the necessary results for the proposed problem, the data mining technique was used in a sample of 11 Instagram profiles from Brazilian state DMOs, selected after a filtering process. The collected data were treated from a quantitative descriptive approach, having as parameter three main indicators, as follows: (1) total publications, (2) likes and (3) comments. All these indices were defined after consulting the engagement literature. In addition, a T Test was done between paired samples to verify if there was a significative difference on the means. In general, the results indicated that posts with digital influencers have better results, given the proposed time frame, especially when compared with the indexes of general posts. However, inferential statistics indicated that the differences between means were not relevant. In such a way, the strategy of endorsement by influencers does not seem to produce relevant effects on user interaction in the profiles of Brazilian DMOs.The innovative character of this research stems from the use of the data mining technique to deliver accurate results as to the effectiveness of a rising social media strategy, providing managers with a solid framework for analysis and fostering the field of discussion.
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document