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Data for study 2
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data set for an online study exploring the role of the decoy effect in sustainable food choice
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Excel table containing the dataset from the 40Ar/39Ar step-heating analysis for the paper entitled "Testing the effects of sample acid treatment for 40Ar/39Ar geochronology"
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Data of a study examining the association between trait resilience and salivary cortisol in 49 Chinese undergraduates. Saliva samples were collected from participants 6 times per day over 3 consecutive days with compliance monitored by MEMS track caps. The Chinese version of the Brief Resilience Scale (Lai & Yue, 2014) was used to measured trait resilience.
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The data source is a questionnaire survey conducted in July 2018. The survey was designed and administered to students from four junior middle schools at Midu County by “Peking University Caitong EconEdu for Kids”. This voluntary program aims to improve rural children’s financial literacy by offering free short-term financial education courses in rural schools. Located in the Dali Bai Autonomous Prefecture of Yunnan Province, Midu County is one of the nationally-designated poor counties, with the largest proportion of the poverty population in Dali and a high rate of migrant worker outflow. Many teenagers remain in rural regions while their parents leave to work in urban areas. Rural Midu has been experiencing high dropout rate during recent years and the teenager students who drop out of school usually go to work. Therefore, our sample students are representative of the population in question. The survey interviews 1737 students in total. This dataset contains a large range of data items relating to: (1) basic personal information and family background; (2) understanding of financial information on government subsidy policies in compulsory education; (3) financial knowledge measured by the understanding of compound interest, inflation and personal financing; (4) financial behavior in terms of budget planning and saving; (5) willingness to study, measured by self-assessed opportunity cost of attending school, expected future earnings and preference for savings for further education.
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The primary objective of this study was to study the effectiveness of analgesia of low dose morphine and fentanyl infusion for postoperative analgesia following spine fusion surgeries. The secondary objectives were to assess visual analogue score (VAS), sedation score and complications like nausea, vomiting, pruritus, and respiratory depression,.After approval by the institutional ethical committee, this prospective, randomized, double-blinded study was done on100 adult patients undergoing lumbar spine fusion surgeries.The patients were randomly divided in to group M (Morphine) or group F (Fentanyl) infusion by computer generated random numbers method. The print out was taken and kept in a sealed envelope. The general anaesthesia was standardized in both the groups. The envelope was opened at this stage and first anesthesiologist prepared the solution according to the group involved. Morphine was prepared as 1mg/ml and fentanyl as 15 mcg/ml solution in an identical looking 50ml syringes.The amount of infusion and bolus dose for breakthrough pain was decided by the first anaesthesiologist based on body weight and he takes no further part in the study. The second anesthesiologist, who was blinded to the group involved, administered the solution as per dose suggested by first anesthesiologist and did monitoring and further management of the patient.Group M patients received Morphine in a dose of 0.02 mg/kg/h continuous infusion with a bolus of 0.04 mg/kg bolus for breakthrough pain. Group F patients received Fentanyl in a dose of 0.3 mcg/kg/h continuous infusion with a bolus of 0.6 mcg/kg bolus for breakthrough pain. If the patient has pain after 15 minutes, bolus dose was repeated. The total number of additional bolus doses utilized was noted. If the pain was persistent for more than 30 minutes then the study was stopped and pain was treated with morphine in titrated doses. Both the groups received infusion for first 24 hours postoperatively. The patients were followed up for further 24 hours to observe for complications. VAS was explained to the patient and was used to assess the pain. [8] The patients were given additional bolus dose when VAS > 3. The sedation was assessed using the Ramsay sedation score (RSS) .The patients were monitored continuously for vital parameters like heart rate, non-invasive blood pressure and oxygen saturation (SPO2) and values are recorded every four hours for 24 hours. The patients were observed for adverse effects like nausea, vomiting, pruritus and respiratory depression. The continuous data were expressed as mean and standard deviation and qualitative data were expressed as numberof events (%). The Student’s t test was used to compare quantitative variables. Categorical data was compared using chi-squared test or Fisher’s exact test, when appropriate. A p-value of < 0.05 was considered statistically significant.
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This data set corresponds to the experimental data reported in the manuscript "E-DATA: a comprehensive field campaign to investigate evaporation enhanced by advection in the hyper-arid Altiplano" by Francisco Suárez, Felipe Lobos, Alberto de la Fuente, Jordi Vilà-Guerau de Arellano, Ana Prieto, Carolina Meruane and Oscar Hartogensis. The data are in matlab (*.mat) or ascii files (*.dat or *-csv). Each file has a description of the data (variables, units, etc.)
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Supporting data for an original research paper titled "Climatically modulated decline in wind speed will promote the expansion of Microcystis due to larger colony formation and reduce phytoplankton biodiversity".
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this data set accompanies the study on the relationship between ICT and financial development. the variables involved in the study are mobile cellular subscription (lmcs), main telephone lines (lmtl), internet users (liu), and financial development (fd). The values in this dataset are the logarith transformation of their original values. the countries involves in the sample are grouped according to their nation income per capita.
Data Types:
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Using the PiKh–model [1], a test data set for training the neural network is formed. The data for training is presented in the file (raw_data_table.csv). The architecture of the neural network can be arbitrary and is set by the settings file (experiment_plan.json). To build the architecture of a neural network, it is necessary to determine the names of the input nodes, the names of the output nodes and set the parameters for hidden layers and the output layer. Each output layer is characterized by a name and parameters that determine the number of nodes, the type of activation function, the optimization algorithm, and the method for distributing errors between nodes. The settings file allows you to set the number of epochs during the training of the neural network, the interval between epochs when the learning results are saved (the interval of data recording on the hard disk), the error value (MSE), and the value of the task stop time for cooling the processor. The values of the output streams for the output sections m=7.8 are presented in the file (epoch0000300000_R.xlsx) under the column names (7.outputA), (8.outputA). The values (7.outputA), (8.outputA) are defined for each row of the test data set for training the neural network.
Data Types:
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  • Tabular Data
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