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• Critical and creative thinking is very important to build students' cognitive processes in solving mathematical learning problems that are done logically and can be measured, in this case problem solving becomes very important in helping students think critically because it helps students think at a high level to find solutions in the form the answer to the problem mathematically. Therefore this article explains about critical thinking data, creative personal, with the ability to solve elementary school students' math problem. This research uses a survey method with statistical regression and correlation approaches. an example in this data is 30 students in elementary schools in the city of Yogyakarta. Data collection method is using a validated questionnaire. In this data collection we present several variable / item questions that are included in the data set. In general, the data findings indicate that there is a relationship of critical thinking, creative personality with significant mathematical problem solving abilities. so this data has particular implications for teachers to create examples of problems that build students' critical, creative thinking levels.
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• Tabular Data
• Dataset
• Data set for publication in Cell Host Microbe, Bruggisser et al: Cell-specific targeting by Clostridium perfringens β-toxin unraveled: the role of CD31 as the toxin receptor.
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• Image
• Tabular Data
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• Document
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• This is the appendix of the paper to supplement the research data of the paper
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• Dataset
• Document
• This data set contains structural information regarding diffraction and spectroscopy of cellulosic Sunn Hemp fiber. First, the XRD diffraction data will shed light on the crystallinity and crystallite size of cellulose. You can interpret the diffraction data by using Segal's peak height method or deconvoluted technique and Scherer's formula to find out cellulose crystallinity and crystallite size respectively. The diffraction data were gathered with certain conditions and specific instrumental parameters. The relative intensity were taken at the angle that scan from 5˚ to 50˚ with a 3˚/min scanning rate and step size of 0.01˚ The spectroscopic data is obtained using the FTIR tool to check the functional groups and bonding. You can interpret the result by checking on the transmission peaks. Cellulose is pure polar in nature and hence hydrophilic. If you are trying to reduce the hydrophilicity, then you will find some peak loss due to the bond-breaking removal of polar molecules. From transmission peak, you also can get the idea of the percentage of transmission with treatment. The data are examined over 8 scans utilizing a nominal resolution of 4 cm-1 at the near-infrared region of wave number 4000 to 400 cm-1. From the electrical data set, you can evaluate the dielectric parameters, impedance, conductivity, and modulus. The current data was derived from an LCR meter in the frequency range of 100 Hz to 100 kHz at ambient temperature. This data will enable us to hold the information of the dielectric stability of composites that are made from naturally derived fibers. To interpret the dielectric and other electrical mentioned parameters, you will be needing a couple of formula which define dielectric constant, dielectric loss, ac conductivity, modulus etc.
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• When diagnosed with a terminal disease patient autonomy should be honored and if they want to take end of life measures they should be able to do so humanely and safely under physician care
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• Dataset
• Document
• The dataset is constructed for a project that investigates the coverage and the role of Semantic Scholar (S2) search engine in condunting secondary studies in software engineering.
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• Software/Code
• Tabular Data
• Dataset
• Text
• Behavioural dynamics gathered from a webchat app. EVTRACKINFO: 347 records. Static behaviour information. EVTRACKTRACK: 142691 records. 113471 for keystroke dynamics and 29220 for mouse dynamics. 11 users. A mean of 28524 +-18541 records has been obtained per user.
Data Types:
• Tabular Data
• Dataset
• 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.
Data Types:
• Software/Code
• Tabular Data
• Dataset
• The attached experimental data of single Polymer Electrolyte Membrane (PEM) fuel cell aim for comparing the characteristics of two different testing hardware, namely the recently developed JRC ZERO∇CELL single cell reference testing hardware and the commonly used by the research community single-serpentine testing hardware. Data are presented in form of polarisation curves, temperature, pressure and voltage distributions, as well as electrochemical impedance spectroscopy measurements for a range of current densities. The electrochemical impedance spectroscopy data are also validated using the Kramers-Kronig transformation and presented as Nyquist and Bode plots.
Data Types:
• Tabular Data
• Dataset
• This dataset contains all source data for the manuscript.
Data Types:
• Tabular Data
• Dataset