Data in Brief

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ISSN / EISSN : 23523409 / 23523409
Current Publisher: Elsevier BV (10.1016)
Total articles ≅ 6,191
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Samson O. Masebinu, J.B. Holm-Nielsen, C. Mbohwa, S. Padmanaban, N. Nwulu
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106150

Abstract:
The time-series data set presented in this article was captured using a real-time energy monitoring device from a distribution panel of a student residence in Johannesburg, South Africa. The data was captured from April 2016 to January 2018. The data from the three conductors supplying the student residence with electricity was automatically aggregated and presented as a single data point. The granularity was at resolution levels of watt-minute and kilowatt-hour. A total of 13,966 hours of data points was captured. The data has not been processed further. Hence, data consists of 1,209-hour of missing data points. In addition to the energy consumption data, 16 months of hourly data for wind speed, temperature and humidity of the closest weather station has been provided. The data will be useful in the formulation of mathematical models of electricity consumption that is most suitable for a student residence. Furthermore, the data provided in this article will encourage the development of a data-driven electricity consumption management strategy and policy formulation for student residences.
Fabien Rizinjirabake, Petter Pilesjö, David E Tenenbaum
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106163

Abstract:
(“Dissolved organic carbon leaching flux in a mixed agriculture and forest watershed in Rwanda” [1]). This article presents data of leached dissolved organic carbon (LDOC), stream water dissolved organic carbon), rainfall amount (Ra), rainfall intensity (Ri), rainfall soil storage (S), runoff (Q), and soil properties such as total organic carbon (TOC), total nitrogen (TN), cation exchange capacity (CEC), and soil texture data collected in the Rukarara River Watershed (RRW), a tropical watershed. All these data were used to analyze leached dissolved organic carbon (LDOC) fluxes in the watershed and their relationship with stream DOC. LDOC and soil properties data were collected at three sites in multiple plots per site located in natural forest (NF), tea plantations (TP), plantation forests (PF), and croplands (CL). Twenty-three plots in total were sampled to collect LDOC data. Soil properties data were analyzed from soil samples collected nearby the plots. Soil texture elements data were used to calculate soil porosity and saturated hydraulic conductivity (Ks). Data of stream DOC were analyzed from water samples collected and analyzed in the laboratory using a TOC analyzer. Rainfall data were recorded within the RRW using tipping bucket rain gauges installed at three sites. These rainfall data were used to calculate rainfall intensity, potential surface runoff, and rainfall soil storage.
Jiajun Zhu, Jing Gao, Hongping Tan
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106158

Abstract:
This data describes the raw and processed information such as salary, power, and age of the CEO and the chairman between 2009 and 2018 in China's listed firms. The data set contains the data of variables based on the characteristic of the firm, personal, team, and supervision. The dissimilarities and similarities of the characteristics between the chairman and the CEO are the core of this data set. The dissimilarities refer to individual and team differences. Individual differences refer to differences in age, gender, tenure, experience, shareholding, and salary of the chairman and CEO, while team differences refer to differences in team size and the standard deviation of the management board members’ age. The similarities refer to joint tenure and family relations between the chairman and CEO. These variables can be used to estimate the impact of chair-CEO age dissimilarity on the relationship between CEO power and chair-CEO pay gap of the Chinese listed firms through binary probit or multinomial regression.
Juan P. Ospina-Zapata, Víctor I. López-Ríos, Verónica Botero-Fernández, Juan C. Duque
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106162

Abstract:
A bicycle route questionnaire was designed to collect information about the characteristics of cyclists and the routes they take. Medellin is used as a case study in this paper due to its strong sociodemographic inequality, land use, urban form diversity, and topographical variability. The survey execution targeted bicycle commuters in the city by distributing the questionnaires online, personally by telephone, and personally on the street. These data will be useful to support strategies aiming to promote bicycling as a mode of transportation. Several types of analysis may be derived from the data, including an explanation of the factors determining the route choice and route comparisons according to the sociodemographics and locations of users. For instance, these data have already been used by Ospina et al. (2020) [1] where they sought to understand cycling travel distance in Medellin city.
Ricvan Dana Nindrea, Nissa Prima Sari, Wirsma Arif Harahap, Samuel J. Haryono, Hari Kusnanto, Iwan Dwiprahasto, Lutfan Lazuardi, Teguh Aryandono
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106145

Abstract:
This dataset presents a survey data describing COVID-19 awareness, knowledge, preparedness and related behaviors among breast cancer patients in Indonesia. The data were collected from breast cancer patients through a survey distributed by an online questionnaire, assesing social-demographic characteristics (6 items), COVID-19 awareness (5 items), knowledge (2 items), preparedness (2 items) and related behaviors (2 items), from 20th June until 14th July 2020. The samples were gathered 500 breast cancer patients in Indonesia who were willing to fill an online questionnaire. SPSS version 23.0 was used to analyzed the data by descriptive and inferential statistics and SmartPLS 3 to created the partial least square path modelling. The data will help in preventing the transmission of COVID-19 among breast cancer patients and can support for health education and promotion interventions.
Dan Shia, Chunlei Tang, Suzanne V. Blackley, Liqin Wang, Jiahong Yang, Yanming He, Samuel I. Bennett, Yun Xiong, Xiao Shi, Li Zhou, et al.
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106153

Abstract:
Hospitalized geriatric patients are a highly heterogeneous group often with variable diseases and conditions. Physicians, and geriatricians especially, are devoted to seeking non-invasive testing tools to support a timely, accurate diagnosis. Chinese tongue diagnosis, mainly based on the color and texture of the tongue, offers a unique solution. To develop a non-invasive assessment tool using machine learning in supporting a timely, accurate diagnosis in the elderly, we created an annotated dataset of 15% of 688 (=100) tongue images collected from hospitalized geriatric patients in a tertiary hospital in Shanghai, China. Images were captured via a light-field camera using CIELAB color space (to simulate human visual perception) and then were manually labeled by a panel of subject matter experts after chart reviewing patients’ clinical information documented in the hospital's information system. We expect that the dataset can assist in implementing a systematic means of conducting Chinese tongue diagnosis, predicting geriatric syndromes using tongue appearance, and even developing an mHealth application to provide individualized health suggestions for the elderly.
Funda Ozkok, Yesim Muge Sahin, Vildan Enisoglu Atalay, KaMala Asgarova, Nihal Onul, Tunc Catal
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106149

Abstract:
Catal's reagent is characterized by spectroscopic methods such as fourier-transform infrared spectroscopy (FT-IR), nuclear magnetic resonance (NMR) spectroscopy, mass spectrometry (MS), ultraviolet (UV)–visible spectrophotometry. Effects of different solvents such as methanol and ethanol on absorption spectrum of 1-(Dodecylthio)anthracene-9,10-dione (3) were present. Detection range of iron (II) sulfate using Catal's reagent was analyzed. Synthesis of 1-(Dodecylthio)anthracene-9,10-dione (3) was explained, and absorbances of various concentrations of iron (II) sulfate (0- 10 mg mL−1) were measured. The possible detection mechanism was also explained. The dataset is useful to improve the detection of iron (II) sulfate in various application fields such as environmental, agricultural, sensor, food, textile and cement industries. The study refers to: F. Ozkok, Y.M. Sahin, V. Enisoglu-Atalay, K. Asgarova, N. Onul, T. Catal, Sensitive Detection of Iron (II) Sulfate with a Novel Reagent using Spectrophotometry, Spectchim. Acta. A, 240 (2020), 118631. https://doi.org/10.1016/j.saa.2020.118631.
Dayi Gilberto Agredo Díaz, Arturo Barba Pingarrón, Jhon Jairo Olaya Florez, Jesús Rafael González Parra, Javier Cervantes Cabello, Irma Angarita Moncaleano, Alba Covelo Villar, Miguel Ángel Hernández Gallegos
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106159

Abstract:
This article presents the data set obtained for the research work entitled “Effect of a Ni-P coating on the corrosion resistance of an additive manufacturing carbon steel immersed in a 0.1 M NaCl solution” [1]. Microstructural, mechanical, and electrochemical characterization (using the electrochemical impedance and electrochemical noise spectroscopy technique) is performed on a material obtained by additive manufacturing and the influence of a Ni-P coating on it. The layer sizes and hardness of the substrate are measured, as well as the thickness of the coating and its hardness, values for corrosion resistance, resistance to electrochemical noise and location indices are calculated. The data show an adequate deposition rate for the type of coating, as well as the increase in corrosion resistance when the coating is applied to the steel by additive manufacturing.
Sukirno Sukirno
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106161

Abstract:
The dataset showed in this manuscript belongs to the investigation of determinant of lecturer performance in Indonesia. Semi-closed questionnaires were administered to collect data and 750 questionnaires were distributed by using snowball-sampling method to lecturers, peers, and students in the public and private universities in Indonesia. About 347 questionnaires were returned and could be further analyzed. Respondents were required to indicate their level of agreement on various items with a five-point scale. Exploratory factor analysis was used to test the item validity and Cronbach's Alpha test was employed to examine the instrument reliability. Besides, path analysis was also employed to test research hypotheses. Lecturer performance is an endless issue in education and the data can be used to explore the lecturer performance. Besides, it may also be used in developing an appraisal model of teacher performance other education levels as well.
Johana Márquez-Lázaro P, Leticia Mora, Darío Méndez-Cuadro, Erika Rodríguez-Cavallo, Fidel Toldrá
Published: 8 August 2020
Data in Brief; doi:10.1016/j.dib.2020.106160

Abstract:
Chlorpyrifos (CPF) is an organophosphorus pesticide used in poultry to prevent and/or kill insects and such as preserving agents of poultry feed. Exposure continues to CPF can promote its accumulation at trace concentrations in animal tissue. The toxicological effects of these residues (carcinogenicity, genotoxicity, and neurological disorders) have been related to oxidative stress. Nevertheless, it is still unknown if these trace concentrations might promote oxidative stress in muscle proteins since chicken meat proteins are susceptible to undergo oxidation reactions. Moreover, protein oxidation has been related to a decrease in the nutritional value in of meat. To investigate the oxidative effect of CPF on chicken breast proteins, peptidomics and proteomics analysis were used. For this, chicken breast samples were exposed to CPF and subjected to simulated gastrointestinal digestion. The identification of oxidized peptides from digested and undigested proteins were performed by LC MS/MS (nanoESI qQTOF). Prior to mass analyses undigested proteins were trypsinated. Data were analysed using MASCOT and ProteinPilot v 4.5 software. In this study, 90 and 107 oxidized peptides from digested proteins of control and exposed samples were identified, respectively. These peptides corresponding to 12 oxidized proteins. Meanwhile, 260 and 324 oxidized peptides from undigested proteins (control and exposed samples) were identified, which corresponding to 19 and 17 proteins, respectively. Collagen was protein more susceptible to oxidation promoted by chlorpyrifos in digested and undigested proteins. Identification of these oxidized proteins from simulated digestion provides an important insight about the impact of substances like certain veterinary drugs at trace concentrations on the nutritional value of chicken breast meat.
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