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  • Pediatric emergence delirium is presented as a disturbance of consciousness and attention, with disorientation and perceptual alterations, including hypersensitivity to stimuli and hyperactive motor behaviors. Many studies evaluated risk factors and pharmacological regimens to prevent and treat emergence delirium. There have been two reports on the practice of anesthesiologists concerning diagnosis, prevention, and treatment of emergence delirium. We aimed to know the practice of the Brazilian anesthesiologist regarding the concept, risk factors, diagnosis and forms of prevention and treatment of emergence delirium in children. A REDCap® web-based survey was sent to all anesthesiologists associated with the Brazilian Society of Anesthesiology by SMS and e-mail. Considering a population of 24 thousand anesthesiologists in Brazil, a 95% confidence interval and a 5% margin of error, a sample size of 648 responders was required for this study. We obtained 671 responses. Of respondents, 92,8% consider emergence delirium as a relevant adverse event and 39,6% reported that emergence delirium interferes “too much” in the quality of anesthesia in their institution. High levels of childhood anxiety, using sevoflurane and previous history of emergence delirium were considered as risk factors for 79.6%, 79,2%, and 72.3%, respectively. More than 90% considered untreated postoperative pain as a risk factor too. More than half of respondents said they evaluate their patients regarding emergence delirium, but 95.1% did not routinely use a validated score tool. Sixty-seven percent reported not routinely using pharmacological strategies to prevent emergence delirium. Propofol and clonidine were the most common anesthetic given to prevent emergence delirium (15.7% and 15.4%, respectively). Midazolam, propofol, and dexmedetomidine were the most common medication given for treatment (25.6%, 34.5%, and 10.6%, respectively). These raw data were de-identified using REDCap® functionality. It is presented as an Excel CSV spreadsheet along with a data codebook translated into English and the original in Portuguese.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • Questionário e Banco de Dados referentes ao artigo "Fatores que influenciam a participação dos consumidores no Turismo Eletrônico", publicado pela Revista Brasileira de Pesquisa em Turismo - RBTUR.
    Data Types:
    • Software/Code
    • Dataset
    • Document
  • Here are all the raw data about the study of "Decoding and Systematization of Medical Imaging Features of Multiple Human Malignancies". Including the proposed correlation atlas to clarify the relationship between medical imaging features and human malignancies, and the CT image dataset of 1000 lung cancer patients for discovering the pattern of distribution of values of the texture features and explaining the visual difference of different image feature values, and all of the source code of this study.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • 100 valid questionnaires on participants' musical knowledge, experience, and attitude towards musical award ceremonies.
    Data Types:
    • Dataset
    • Document
  • Tecplot data format. In order it presents molar density [mol/m3], temperature[K], one-phase pressure[Pa], equilibrium pressure[Pa], vapor volume fraction [-], number of flash iterations [-] and final value of objective function [J] .
    Data Types:
    • Dataset
    • Document
  • This study dataset is for our study that aimed to understand the risk perception and the behavioral response of the university academics and students towards the COVID-19. The study is based on a self-administered online survey that was conducted among the academic staff and university students in Iraqi Kurdistan Region. The survey questionnaire included eight main questions about the main aspects of personal risk perception and behavioral response to COVID-19 based on a five or nine-point ordinal scale.
    Data Types:
    • Software/Code
    • Dataset
  • This dataset is uploaded as supplementary material for article "A new PARAFAC-based algorithm for HPLC-MS data treatment: Herbal extracts identification"
    Data Types:
    • Software/Code
    • Dataset
    • Text
  • .sav file with the data collected in the point-of-sale field experiment described in the study.
    Data Types:
    • Software/Code
    • Dataset
  • The dataset was constructed to examine Vietnamese student’s learning habit during the school suspension time due to the novel coronavirus - SARS-CoV-2 (Covid-19), responds to the call of open research to prevent potential effects of coronavirus (Elsevier, 2020). The questionnaires were spread over a network of educational communities on Facebook from 7th to 28th of February 2020. Using the snowball sampling method, researchers delivered the survey to teachers and parents to confirm the consent form before they forward it to their students and children. In order to measure the influence of student’s socioeconomic status and occupational aspirations over their learning habit during school closure, the survey includes three major groups of questions: (1) Individual demographic, includes family socioeconomic status, school types, and occupational aspirations; (2) Student’s learning habits, include hours of learning before and during school suspension time, with and without other people’s support; and (3) Student’s perception on self-learning during the disease. There was a total of 920 clicks on the survey link, but only 460 responses with consent form were received. The incurable answers (e.g., year of birth is before 2009, more than 20 hours of learning per day, etc.) have been eliminated. Finally, the dataset includes 420 valid observations.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • These are ND2 alignments for South Asian Cnemaspis and Gekkota for phylogenetic reconstruction and divergence dating analysis. Agarwal I, Thackeray T, Pal S & Khandekar A. 2020. Granite boulders act as deep-time climate refugia: a Miocene divergent clade of rupicolous Cnemaspis Strauch, 1887 (Squamata: Gekkonidae) from the Mysore Plateau, India, with descriptions of three new species. Journal of Zoological Systematics and Evolutionary Research
    Data Types:
    • Software/Code
    • Dataset
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