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  • The level of knowledge related to CKD and perceived inpatient management was moderate among nurses. Eighty four percent (84%) had moderate level of knowledge related to CKD and 51% of nurses had moderate level of perceptions regarding of inpatient management of CKD. The factors associated with knowledge were institution type (p=.024), department (p=.000), level of education (p=.010) and type of specialty (p=.000). The factor associated perceived inpatient management of CKD was department type (p=.015). A very weak non-significant positive relationship (r = .115, N = 120, p = .21) between knowledge and practice was observed. Before analyzing the data, the data was cleaned, grouped and classified according to demographic characteristic, knowledge and perceptions. These quantitative data were analyzed descriptively using tables, and percentages, and inferential statistics (chi-square) with the help of SPSS (Statistical Package for Social Sciences) window version 21. Descriptive statistics used to describe the demographic variables, the level of nurse’s knowledge and perceptions regarding inpatient CKD management. Inferential statistics (chi-square test) used to establish association between demographic characteristics and nurse’s knowledge and perceptions regarding inpatient CKD management. Pearson correlation coefficient ® was calculated to identify the direction and the strength of the relationship between nurse’s knowledge and perceptions regarding inpatient CKD management and The Pearson correlation determine the strength and direction of a relationship between two quantitative/numerical variables. It ranges from negative (-1) to positive (+1) coefficient values. A negative correlation indicates that high values on one variable are associated with low values on the next. A positive correlation indicates that high values on the one variable are associated with high values of the next .
    Data Types:
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    • Software/Code
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  • In this research, we developed a high throughput method to systematically map functional connections from the dorsal cortex to the thalamus in awake mice by combing optogenetic inactivation with multichannel recording. Here, we provide: 1. Raw data of multi-units and single-units obtained in this study. 2. MATLAB codes for data analysis.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • File Set
  • 2. Muestra La muestra fue seleccionada de manera incidental entre los estudiantes de la Universidad de Almería durante el primer cuatrimestre del curso 2019-20. En total, respondieron al cuestionario completo 605 estudiantes de un total de 812 cuestionarios enviados a los universitarios matriculados en primero y segundo de la Facultad de Educación, con una tasa de respuesta del 74,5%. Si bien la tasa de respuesta es alta, la muestra además de basarse en un diseño no probabilístico tiene un cierto sesgo de edad (predominan jóvenes entre 17-19 años) y género (las mujeres son la mayoría). La matriz de datos en formato del paquete estadístico SPSS con toda la información detallada se encuentra disponible para descargar en Mendeley Data con el objeto de favorecer la transparencia y replicabilidad de los análisis (Fernández-Prados, 2020). 2. Instrumento El cuestionario contiene seis preguntas con un total de 21 items organizados en cuatro apartados, el primero con dos cuestiones sociodemográficas (sexo y edad), el segundo con otras dos preguntas relativas a la vía de acceso y dedicación diaria a internet, el tercero con una batería de cuatro ítems donde se interroga sobre finalidades y usos en internet (entretenerse, realizar trabajos universitarios, informarse y visitar redes sociales) sobre la base de una escala de frecuencia. Finalmente se plantea un listado de 11 acciones políticas y sociales en internet basadas en las recogidas en cuestionarios de encuestas nacionales e internacionales y las escalas de ciudadanía digital, con cuatro opciones de respuesta (“No lo he hecho y nunca lo haría”; “No lo he hecho, pero lo haría” “Lo he hecho anteriormente” y “Lo he hecho en los últimos 12 meses”). El análisis de fiabilidad de los 11 items alcanzó un alto coeficiente o alfa de Cronbach (.834)
    Data Types:
    • Software/Code
    • Dataset
  • This repository includes a solidWorks (2019) CAD model of a research quality double pendulum. Additionally, we have provided video data with trackers recorded at 1000 FPS and Encoder data to validate the video data analysis.
    Data Types:
    • Software/Code
    • Image
    • Video
    • Dataset
    • Text
    • File Set
  • In the datasets, the scale of organizational culture based on eleven items of primary cultural values (PCV) and nine items of secondary cultural values (SCV). Work motivation variables in the datasets used four items of motive motivation (MM), seven items of expectation motivation (ME), and with nine items of incentive motivation (IM). Interpersonal communication variables were seven items of social sensitivity (SS), nine items of social insight (SI), and four items of social communication skills (SCM). The items, including labels and ratings, will be explained later, with more comprehensive details as supplementary material (see "Annotated Questionnaire" in supplementary material). This was because each item had different rankings and choices. To measure teacher performance used three scales from the book of effective teacher performance. The teacher performance scale used three variables of thirteen items of the learning process (LL), four items of scientific work (SW), and three items of service (S).
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
  • Full legend will follow here
    Data Types:
    • Software/Code
    • Video
    • Dataset
  • The data set contains Hadamard matrices of order 28 in machine-readable form, convenient for use in programs. Data taken from the site http://www.maths.gla.ac.uk/~es/hadamard/hadamard.php This data set complements following ones Ukhalov, Alexey; Nevskii, Mikhail (2018), “Functions for checking necessary conditions for maximality of 0/1-determinant and example”, Mendeley Data, v1 http://dx.doi.org/10.17632/sm3x4xrb42.1 Ukhalov, Alexey (2019), “Matrices having the largest known determinant in machine-readable form”, Mendeley Data, v1 http://dx.doi.org/10.17632/hzf94h43c5.1 Data is presented in three formats: Wolfram Mathematica Notebook, PDF, and Plain Text.
    Data Types:
    • Software/Code
    • Dataset
    • Document
    • Text
  • This data and code are associated with the article "3D Scanner Technology Implementation to Numerical Modeling of GPR" by the same authors. The 3D scanner data and Matlab code used in the article are provided with other necessary files. The Readme file comprises detailed descriptions of the data files and formats. Please see the publication for more information about this data set.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • This data was collected during a study on the perceptions of RAS-produced fish in Germany. In the discussion of expanding sustainable aquaculture production in the EU, recirculating aquaculture systems (RAS) adopt an increasingly important role. While capable of mitigating certain environmental externalities commonly found with other forms of aquaculture and enabling the intensive production of safe and healthy aquatic products, RAS are also characterized by higher investment and operating costs which require higher sales prices. Incorporating principles from the theory of planned behavior, multi-attribute attitude models and a taste test, this research investigates consumers’ and fine dining chefs’ perception of RAS-produced fish using the example of pikeperch (Sander lucioperca). While perception and stated purchase intention of RAS-produced pikeperch is generally positive, results reveal a comparably small portion of consumers willing to pay above average prices. Healthiness related aspects are of greatest relevance to both investigated groups and regression analysis shows that personal norms and moral obligation are significant positive predictors of consumers’ purchase intention.
    Data Types:
    • Software/Code
    • Dataset
  • Movement data and scripts
    Data Types:
    • Other
    • Software/Code
    • Geospatial Data
    • Image
    • Dataset
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