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  • This open-access data comprises the twenty-six shapefiles necessary to visualise and analyse our glacial geomorphological map on a geographical information system (such as ArcGIS) (folder 01). All shapefiles are georeferenced in the WGS84 geographic reference coordinate system. Each of the 25 data folders comprise 7 file formats: .shp , .cpg , .dbf , .prj , .sbn , .shx , and Adobe Illustrator Tsume File (.sbx). To enable an easier download process, if required, we also provide the 26 shapefiles in .shp format only, together in folder 02. We further provide a table with recommended RGB colours per shapefile to enable optimum visualisation (folder 03). Please cite original publication when using and/or referring to these data.
    Data Types:
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
    • File Set
  • Agile software development methods allow exploiting software development characteristics to minimize risks in software development projects. Although Agile practices such as small increments, work visibility and expectations management tend to ensure that project results are delivered, they are often not sufficient to manage project risks in certain scenarios, where other explicit risk management practices can be added. In order to understand how risk management is being integrated into Agile software development methods, a Systematic Literature Mapping (SLM) was conducted following the steps of protocol definition, search execution, study selection and data extraction and analysis. The collected data from the selected primary studies are recorded in this Data Collection Form.
    Data Types:
    • Tabular Data
    • Dataset
  • Data for "Study of the water table dynamics with different truncation factors under the periodic oscillating driving water head condition"
    Data Types:
    • Tabular Data
    • Dataset
  • Introduction : The use of CAM in healthy population and in patients with certain health conditions was investigated in Croatia, however not on health students and professionals. The aim of the study was to measure the use of complementary and alternative medicine (CAM) in health study students. Methods: An online survey was used on students enrolled at the Faculty of Health Studies University of Rijeka, Croatia. The questionnaire covered issues related to sociodemographic data and examined the frequency of using 31 CAM methods, the source of the CAM information and the main reason for using CAM. Results: Seven hundred and twenty-three students were invited to take part in the survey and 207 (29%) responded, most of whom were female (N = 172; 83,1%). The median age of the respondents was 22 years. More than half of the respondents (N=113; 54,6%) were employed. The most commonly used CAM methods were natural products - vitamins and minerals (93,2%), probiotics (80,7%) and herbs (78,3%). Most commonly used mind and body practices were massages (76,3%), deep breathing (61,4%), and spirituality and prayer (56%). The main source of information on CAM was Internet (N=151; 72,9%). Maintenance / improvement of health was the most common reason for using CAM (49,3%). Conclusion: The most commonly used methods of CAM among students in this study were similar to other studies and information about CAM is mostly derived from the Internet.
    Data Types:
    • Tabular Data
    • Dataset
  • The first dataset t registers which articles have been violated in each one of the cases judged by the IACtHR until April 2019. Cell = 1 means the article was declared violated, cells =0 means the article was not violated. The second dataset registers compliance levels of the remedies ordered in the judgments of the Inter-American Court of Human Rights until April 2019. The calculation of the compliance level is a value between cero and one that could also be read as a percent of compliance. The calculations were elaborated using the compliance judgments of the IACtHR. (2019-04-09)
    Data Types:
    • Tabular Data
    • Dataset
  • This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.
    Data Types:
    • Software/Code
    • Video
    • Tabular Data
    • Dataset
    • Document
  • Complete data set.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Simulations files for 3D DFN for use with dfnWorks (dfnworks.lanl.gov). Accompanying manuscript submitted to Water Resources Research "Flow Channeling in Fracture Networks: Characterizing the Effect of Density on Preferential Flow Path Formation"
    Data Types:
    • Software/Code
    • Dataset
    • Document
  • "Every joke has a target and therefore every joke has the potential to be cruel or hurtful. It also has the opposite" said Rob Gee. Comedy is the best source for telling and informing others about what happened in society and what would be expected from society. It is also concluded that participants who watch acknowledging comedy programs are more politically aware and feel more informed than others. It is concluded there is a positive relationship between a knowledge giving political program and participant perception and understanding about political party manifesto.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Stress computed tomography perfusion (Stress-CTP) and computed tomography-derived fractional flow reserve (FFRCT) are functional techniques that can be added to coronary computed tomography angiography (cCTA) to improve the management of patients with suspected coronary artery disease (CAD). This retrospective analysis from the PERFECTION study aims to assess the impact of their availability on the management of patients with suspected CAD scheduled for invasive coronary angiography (ICA) and invasive FFR. The management plan was defined as optimal medical therapy (OMT) or revascularization and was recorded for the following strategies: cCTA alone, cCTA+FFRCT, cCTA+Stress-CTP and cCTA+FFRCT+Stress-CTP. In 291 prospectively enrolled patients, cCTA+FFRCT, cCTA+Stress-CTP and cCTA+FFRCT+Stress-CTP showed a similar rate of reclassification of cCTA findings when FFRCT and Stress-CTP were added to cCTA. cCTA, cCTA+FFRCT, cCTA+Stress-CTP and cCTA+FFRCT+Stress-CTP showed a rate of agreement versus the final therapeutic decision of 63%, 71%, 89%, 84% (cCTA+Stress-CTP and cCTA+FFRCT+Stress-CTP vs cCTA and cCTA+FFRCT: p < 0.01), respectively, and a rate of agreement in terms of the vessels to be revascularized of 57%, 64%, 74%, 71% (cCTA+Stress-CTP and cCTA+FFRCT+Stress-CTP vs cCTA and cCTA+FFRCT: p < 0.01), respectively, with an e ective radiation dose (ED) of 2.9  1.3 mSv, 2.9  1.3 mSv, 5.9  2.7 mSv, and 3.1  2.1 mSv. The addition of FFRCT and Stress-CTP improved therapeutic decision-making compared to cCTA alone, and a sequential strategy with cCTA+FFRCT+Stress-CTP represents the best compromise in terms of clinical impact and radiation exposure.
    Data Types:
    • Tabular Data
    • Dataset
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