The dataset in the file "combined1.csv" included 383 patient's clinical data, including 7 variables: age, sex, location, aneurysm, nidus size, draining type, the number of draining veins, and hemorrhage. Female was defined as 0, male as 1. Superficial AVM was defined as 0, deep AVM as 1, infratentorial AVM as 2. Only superficial draining vein was defined as 0, mixed superficial and deep draining vein as 1. A single draining vein was defined as 1, multiple draining veins as 2. Ruptured AVM was defined as 1, unruptured AVM as 0.
The file "randomtestpredict.R" was the source file in RStudio, which was used to build and test prediction models based on the above data file.
Contributors:Veerle Van Oeckel, Maïté Verloigne, Benedicte Deforche, Nicola D. Ridgers, Elling Bere
Background: Sedentary behaviour guidelines recommend that individuals should regularly break up sitting time. Accurately monitoring such breaks is needed to inform guidelines concerning how regularly to break up sitting time and to evaluate intervention effects. We investigated the concurrent validity of questionnaire items assessing number of breaks in sitting time among children and adolescents.
Methods: Fifty-seven children and adolescents self-reported number of breaks from sitting taken at school, while watching TV and during other screen time activities. Participants also wore an activPAL monitor to objectively assess the number of sitting time breaks (frequency/hour). Concurrent validity was assessed using Spearman rank correlations.
Results: Self-reported number of breaks/hour at school showed good concurrent validity (ρ=0.676). Results were moderate to good for self-reported number of breaks/hour while watching TV (ρ range: 0.482 to 0.536) and moderate for self-reported number of breaks/hour in total screen time (ρ range: 0.377 to 0.468). Poor concurrent validity was found for self-reported number of breaks/hour during other screen time activities (ρ range: 0.157 to 0.274).
Conclusions: Only the questionnaire items about number of breaks at school and while watching TV appear to be appropriate for further use in research focussing on breaks in prolonged sitting among children and adolescents.
The presented cross-sectional dataset can be employed to analyze the governmental, trade, and competitiveness relationships of official COVID-19 reports. It contains 18 COVID-19 variables generated based on the official reports of 138 countries, as well as an additional 2203 governance, trade, and competitiveness indicators from the World Bank Group GovData360 and TCdata360 platforms in a preprocessed form. The current version was compiled on May 25, 2020.
Please cite as:
• (Data in Brief article)
• Data generation (data_generation. Rmd): Datasets were generated with this R Notebook. It can be used to update datasets and customize the data generation process.
• Country data (country_data.txt): country data.
• Metadata (metadata.txt): the metadata of selected GovData360 and TCdata360 indicators.
• Joint dataset (joint_dataset.txt): the joint dataset of COVID-19 variables and preprocessed GovData360 and TCdata360 indicators.
• Correlation matrix (correlation_matrix.txt): the Kendall rank correlation matrix of the joint dataset.
Contributors:Max van Riel, Zidan Yu, Shota Hodono, Ding Xia, Hersh Chandarana, koji fujimoto, Martijn Cloos
Free-breathing MR Fingerprinting acquisitions of the abdomen. One dataset is acquired with the normal ordering, the other with the motion-robust ordering, as described in the article "Optimization of MR Fingerprinting for Free-Breathing Quantitative Abdominal Imaging". The data acquired with the normal ordering shows artefacts caused by respiratory motion, while these artefacts are reduced by using the proposed motion-robust ordering of the acquired k-space.
Contributors:Lilian Franco-Belussi, Diogo Borges Provete, Rinneu Borges, Classius de Oliveira, Lia Raquel Santos
This dataset comprehends data and and associated R code used to run the analysis for the paper. We also include an R Markdown Dynamic document. We tested whether the amount of melanomacrophages and hepatic cellular catabolism substances are influenced by land use changes in the Brazilian Cerrado. Data contains the Environmental matrix (Q) composed of the land use classes for each samplimg site, species trait (R) matrix with content of each pigment in cells, averaged from all individuals, and species composition matrix (L) with the species incidence in all sampling sites.
This data is the result of statistical processing about the preferences of students in education in choosing work after completing lectures. Indicators that influence a student in choosing work. there are 8 indicators namely, work fields (Government Work Sector, Non-Governmental, Entrepreneurship), Education Suitability to the work field, (suitable, not suitable), Salary (> IDR 3,500,000, IDR 3,001,000 - 3,500,000, IDR 2,001,000 - 3,000,000, 20 km), and Workplace Facilities (family allowances, medical benefits, operational vehicles). Data were obtained by converting questionnaires to 105 students in Bengkulu University education
The present dataset includes data and figures relative to the submitted paper " Detection of formation boundary using transient multicomponent electromagnetic logging while drilling method " currently under review in Journal of Petroleum Science and Engineering.