Journal Article

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The Impact of Seven Dimensions of Emotional Maltreatment on Self Concept of School Adolescents in Ota, Nigeria
(2011) Gesinde AM
This paper investigates the effect of seven dimensions of emotional maltreatment on self-concept of school adolescents. Two hundred adolescents selected through purposive sampling technique from fifteen private secondary schools in Ota, Nigeria participated in the study. Questionnaire on Seven Dimensions Emotional Maltreatment at Home (QSDEMH) and Adolescent Personal Data Inventory (APDI) are used to generate data. Three research hypotheses are tested at 0.05 alpha level using multiple regression and correlation coefficient. The findings indicate that the seven independent variables jointly account for 28.0% of the variance in self concept (R2=280.) The independent variables contribute differently to the prediction of self concept and negative significant relationship exists between the predictors and self concept. It is recommended that Psychologists and Counsellors commence the development of therapeutic strategies that will address the seven dimensions of emotional maltreatment.
Investigation of Radiation Levels in Soil Samples Collected from Selected Locations in Ogun State, Nigeria
(2014) Usikalu MR; Akinyemi ML; Achuka JA
Present study measured the terrestrial radiation and evaluated absorbed dose rates from primordial radionuclides 238U, 40K and 232Th in sixty soil samples collected from north, west, east and south of Ewekoro cement factory premises, Owowo village situated adjacent to the factory and Covenant University, Ogun State using the gamma ray spectrometry method. The gamma absorbed rate and annual effective dose equivalent were calculated so as to estimate the hazard index of the primordial radionuclides. Measured concentrations of radionuclides in Ewekoro cement factory soils were as follow: [232U 1.60±1.60 Bqkg−1 (east) - 2.56±0.08 Bqkg−1 (north), 232Th 44.78±1.83 Bqkg−1 (east) - 56.62±1.96 Bqkg−1 (north), 40K 261.54±12.67 Bqkg−1 (south) - 342.08±14.17 Bqkg−1 (east)] and Owowo village [232U 1.78±0.09 Bqkg−1 (east) - 2.62±0.08 Bqkg−1 (north), 232Th 50.07±1.93 Bqkg−1 (west) - 61.69±1.89 Bqkg−1 (north), 40K 244.11±13.38 Bqkg−1 (north) - 296.40±14.90 Bqkg−1 (south)]. These locations have higher concentration of all radionuclides than that of Covenant University soils, which are as follows: [232U 0.62±0.07 Bqkg−1 (south) - 1.07±0.06 Bqkg−1 (north), 232Th 30.23±1.87 Bqkg−1 (south) - 38.87±1.78 Bqkg−1 (east), 40K 243.35±12.57 Bqkg−1 (south) - 301.15±13.55 Bqkg−1 (north)]. The mean absorbed dose and annual equivalent effective dose is 40.88 nGyr-1 and 0.05 mSv respectively. The study found that the activity concentrations and radiological hazard index from samples from Ewekoro and the neighbourhood are consistently higher than those from Covenant University however; the values are less than the recommended safe levels.
Prevalence of malaria and predisposing factors to antimalarial drug resistance in Ota
(2014) Olasehinde GI
Dataset on ground radiometric survey in part of the Eastern Dahomey Basin, SW Nigeria
(2017) Oyeyemi KD; Aizebeokhai AP; Olofinnade OM
The dataset for this article contains the measured activity concentration of radionuclides and gamma-radiation dose rate obtained from the radiometric survey in Ota, Ado-Odo Local Government Area, Ogun State, Nigeria. The data were manually collected in fifty (50) locations using the Super SPEC RS-125 spectrometer for about three (3) weeks in January, 2017. The descriptive statistical analysis of the data were equally explored for possible statistical relationships. The field dataset is made available publicly for further extended analyses that can provide insights into the safety status of the study area from radiological health concerns. The dataset could also serve as a significant baseline radiometric data for future epidemiology researches and monitoring initiative in Ota and its environs.
Smart campus: Data on energy consumption in an ICT-driven university
(2018) Popoola SI; Atayero AA; Okanlawon TT; Omopariola BI; Takpor OA
In this data article, we present a comprehensive dataset on electrical energy consumption in a university that is practically driven by Information and Communication Technologies (ICTs). The total amount of electricity consumed at Covenant University, Ota, Nigeria was measured, monitored, and recorded on daily basis for a period of 12 consecutive months (January–December, 2016). Energy readings were observed from the digital energy meter (EDMI Mk10E) located at the distribution substation that supplies electricity to the university community. The complete energy data are clearly presented in tables and graphs for relevant utility and potential reuse. Also, descriptive first-order statistical analyses of the energy data are provided in this data article. For each month, the histogram distribution and time series plot of the monthly energy consumption data are analyzed to show insightful trends of energy consumption in the university. Furthermore, data on the significant differences in the means of daily energy consumption are made available as obtained from one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests. The information provided in this data article will foster research development in the areas of energy efficiency, planning, policy formulation, and management towards the realization of smart campuses.
Datasets on demographic trends in enrollment into undergraduate engineering programs at Covenant University, Nigeria
(2018) Popoola SI; Atayero AA; Badejo JA; Odukoya JA; Omole DO; Ajayi P
In this data article, we present and analyze the demographic data of undergraduates admitted into engineering programs at Covenant University, Nigeria. The population distribution of 2649 candidates admitted into Chemical Engineering, Civil Engineering, Computer Engineering, Electrical and Electronics Engineering, Information and Communication Engineering, Mechanical Engineering, and Petroleum Engineering programs between 2002 and 2009 are analyzed by gender, age, and state of origin. The data provided in this data article were retrieved from the student bio-data submitted to the Department of Admissions and Student Records (DASR) and Center for Systems and Information Services (CSIS) by the candidates during the application process into the various engineering undergraduate programs. These vital information is made publicly available, after proper data anonymization, to facilitate empirical research in the emerging field of demographics analytics in higher education. A Microsoft Excel spreadsheet file is attached to this data article and the data is thoroughly described for easy reuse. Descriptive statistics and frequency distributions of the demographic data are presented in tables, plots, graphs, and charts. Unrestricted access to these demographic data will facilitate reliable and evidence-based research findings for sustainable education in developing countries.
Path loss dataset for modeling radio wave propagation in smart campus environment
(2018) Popoola SI; Atayero AA; Arausi OD; Matthews VO
Path loss models are often used by radio network engineers to predict signal coverage, optimize limited network resources, and perform interference feasibility studies. However, the propagation mechanisms of electromagnetic waves depend on the physical characteristics of the wireless channel. Therefore, efficient radio network planning and optimization requires detailed information about the specific propagation environment. In this data article, the path loss data and the corresponding information that are needed for modeling radio wave propagation in smart campus environment are presented and analyzed. Extensive drive test measurements are performed along three different routes (X, Y, and Z) within Covenant University, Ota, Ogun State, Nigeria (Latitude 6°40′30.3″N, Longitude 3°09′46.3″E) to record path loss data as the mobile receiver moves away from each of the three 1800 MHz base station transmitters involved. Also, the longitude, latitude, elevation, altitude, clutter height, and the distance information, which describes the smart campus environment, are obtained from Digital Terrain Map (DTM) in ATOLL radio network planning tool. Results of the first-order descriptive statistics and the frequency distributions of all the seven parameters are presented in tables and graphs respectively. In addition, correlation analyses are performed to understand the relationships between the network parameters and the terrain information. For ease of reuse, the comprehensive data are prepared in Microsoft Excel spreadsheet and attached to this data article. In essence, the availability of these data will facilitate the development of path loss models for efficient radio network planning and optimization in smart campus environment.
Data on microbial assessment and physicochemical characteristics of sachet water samples obtained from three factories in Ota, Ogun state, Nigeria
(2018) Okunola OJ; Oba DO; Oranusi SU; Okagbue HI
The data described in this article were obtained in a study to assess the bacteriological and physicochemical properties of packaged sachet water sold for public consumption. Sixty sachet water samples from 3 different brands (A, B and C) produced and consumed in Ota, Ogun State was collected. Stratified sampling method was used. Samples were subjected to microbiological analysis using pour plate method and colony counter to count the organisms. The packaged water samples were assessed for the total coliform count, total plate count and count on Salmonella- Shigella agar. Physicochemical parameters were also assayed for and reported here. The analysis of the data presented here can be helpful in improving public health and creating awareness of the risk of consumption of satchel water.
Survey dataset on the impact of stakeholder's relationship on the academic performance of engineering students
(2018) Oyeyipo O; Odeyinka H; Owolabi J; Afolabi A; Ojelabi R
In order to produce seasoned graduates from tertiary institutions, academic performance of students should be paramount in the minds of stakeholders. The dataset presented the perception of engineering students and lecturers in two private universities in Ogun state, namely, Bells University of Technology and Covenant University. Purposive quota sampling was used to elicit data from students and lecturers in the institutions through a closed ended structured questionnaire. Inferential statistics such as component principal analysis, regression analysis and Kruskall Wallis test were used to present the data. The engineering students are in their fourth year. The data collected focused on stakeholder's relationship on students’ academic performance. It also provided information on the significant factors affecting stakeholder's relationship in tertiary educational institution as well as the effect of the age of the students in lecturer–student relationship. The survey data when analysed can be a pointer in identifying the unique stakeholders’ characteristics that could engender best academic performance from the students.
Exploration of daily Internet data traffic generated in a smart university campus
(2018) Adeyemi OJ; Popoola SI; Atayero AA; Afolayan DG; Ariyo M; Adetiba E
In this data article, a robust data exploration is performed on daily Internet data traffic generated in a smart university campus for a period of twelve consecutive (12) months (January–December, 2017). For each day of the one-year study period, Internet data download traffic and Internet data upload traffic at Covenant University, Nigeria were monitored and properly logged using required application software namely: FreeRADIUS; Radius Manager Web application; and Mikrotik Hotspot Manager. A comprehensive dataset with detailed information is provided as supplementary material to this data article for easy research utility and validation. For each month, descriptive statistics of daily Internet data download traffic and daily Internet data upload traffic are presented in tables. Boxplot representations and time series plots are provided to show the trends of data download and upload traffic volume within the smart campus throughout the 12-month period. Frequency distributions of the dataset are illustrated using histograms. In addition, correlation and regression analyses are performed and the results are presented using a scatter plot. Probability Density Functions (PDFs) and Cumulative Distribution Functions (CDFs) of the dataset are also computed. Furthermore, Analysis of Variance (ANOVA) and multiple post-hoc tests are conducted to understand the statistical difference(s) in the Internet traffic volume, if any, across the 12-month period. The robust data exploration provided in this data article will help Internet Service Providers (ISPs) and network administrators in smart campuses to develop empirical model for optimal Quality of Service (QoS), Internet traffic forecasting, and budgeting.
Data on perceived excessive workload on faculty members׳ commitment
(2018) Oludayo OA; Akanbi CO; Falola HO; Aluko OA
For this article, the survey data on the effect of perceived excessive workload on faculty members’ commitment was presented. This data was gathered from an academic environment using the full time faculty members of Covenant University. The descriptive research design method was employed. The initial sample size used for the analysis was 228 faculty members but only 189 copies of questionnaire were returned. Statistical package for social sciences (SPSS) was used for the coding of the data. The validity and reliability of the research instrument were carried out using Cronbach Alpha. Descriptive analysis was used for the presentation of the data. This data is made publicly available to assist further study in the area of workload and employees commitment.
Data analysis on the level of exposure to pollutions in industrial zone: A case study of Ewekoro and Ota Township
(2018) Fayomi GU; Wusu O; Mini SE; Fayomi OS; Kilanko O
This study focused on a comparative analysis of exposure to pollution in Ota and Ewekoro Township where we have concentration of industries that emits pollutant to the air. This was with a view to proffer solution to the negative effects of industrial activities on residents within industrial location. The study involved empirical observation and interview of residents. About 652 questionnaires were administered randomly on the residents. Analysis involved descriptive statistical tools including chi-square techniques. The results suggest that air pollution was most frequently reported in Ewekoro and Ota and this can help in the prediction of stringent factor in which industrial activities could pose to society.
Smart campus: Data on energy generation costs from distributed generation systems of electrical energy in a Nigerian University
(2018) Okeniyi JO; Atayero AA; Popoola SI; Okeniyi ET; Alalade GM
This data article presents comparisons of energy generation costs from gas-fired turbine and diesel-powered systems of distributed generation type of electrical energy in Covenant University, Ota, Nigeria, a smart university campus driven by Information and Communication Technologies (ICT). Cumulative monthly data of the energy generation costs, for consumption in the institution, from the two modes electric power, which was produced at locations closed to the community consuming the energy, were recorded for the period spanning January to December 2017. By these, energy generation costs from the turbine system proceed from the gas-firing whereas the generation cost data from the diesel-powered generator also include data on maintenance cost for this mode of electrical power generation. These energy generation cost data that were presented in tables and graphs employ descriptive probability distribution and goodness-of-fit tests of statistical significance as the methods for the data detailing and comparisons. Information details from this data of energy generation costs are useful for furthering research developments and aiding energy stakeholders and decision-makers in the formulation of policies on energy generation modes, economic valuation in terms of costing and management for attaining energy-efficient/smart educational environment.
The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution
(2018) John TM; Badejo JA; Popoola SI; Omole DO; Odukoya JA; Ajayi PO; Aboyade M; Atayero AA
This data article presents data of academic performances of undergraduate students in Science, Technology, Engineering and Mathematics (STEM) disciplines in Covenant University, Nigeria. The data shows academic performances of Male and Female students who graduated from 2010 to 2014. The total population of samples in the observation is 3046 undergraduates mined from Biochemistry (BCH), Building technology (BLD), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mathematics (MAT), Microbiology (MCB), Mechanical Engineering (MCE), Management and Information System (MIS), Petroleum Engineering (PET), Industrial Physics-Electronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy (PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this article.
Radionuclides proportion and radiological risk assessment of soil samples collected in Covenant University, Ota, Ogun State Nigeria
(2018) Adewoyin OO; Omeje M; Joel ES; Akinwumi SA; Ehi-Eromoseled CO; Embong Z
The activity levels of 238U, 232Th and 40K in soil surrounding major office complexes in Covenant University were analyzed for radiological hazards to determine the safety of the residents in such environment. Sixteen (16) soil samples were collected, prepared and sent to Acme laboratory in Canada for analysis with the use of high purity germanium detector. The mean activity concentrations of 238U, 232Th and 40K were found to be 45?±?10, 135?±?8 and 195?±?20 respectively. The concentrations of 238U and 232Th were found to be higher than the world recommended standard of 35 and 30, while the result for 40K was noted to be lower than the world safe limit. The average values of Raeq, D, AED, Iyr, Hex and ELCR in this study were estimated to be 252.33?Bq/kg, 110.15 nGy/h, 0.13 mSv/y, 1.78, 0.68 and 0.47?×?10-3 respectively. It was noticed that none of the measured parameters was higher than the internationally recommended safe limits. 232Th was found to be the major contributor to the environmental radionuclides in the area of study. Therefore, the inhabitants of the office complexes whose environment was assessed are considered not be exposed to any radiological hazards.
Dataset on analysis of quality of health and social insurance subscription in different socio-economic class of workers in selected areas in southwest Nigeria
(2018) Dokunmu TM; Adjekukor CU; Oladejo DO; Amoo EO
National social health insurance scheme aims to improve the health of citizens and provide equal access to health care across different income classes. This empirical datasets describes quality of health, insurance subscription, awareness, health care coverage and benefits in different socio-economic class of workers in Ota and Lagos, Nigeria. The perception of individual׳s state of health and level of satisfaction of accessed health care are reported and opinions on ways to meet the health needs of workers in a developing country such as Nigeria.
Learning analytics: Dataset for empirical evaluation of entry requirements into engineering undergraduate programs in a Nigerian university
(2018) Odukoya JA; Popoola SI; Atayero AA; Omole DO; Badejo JA; John TM; Olowo OO
In Nigerian universities, enrolment into any engineering undergraduate program requires that the minimum entry criteria established by the National Universities Commission (NUC) must be satisfied. Candidates seeking admission to study engineering discipline must have reached a predetermined entry age and met the cut-off marks set for Senior School Certificate Examination (SSCE), Unified Tertiary Matriculation Examination (UTME), and the post-UTME screening. However, limited effort has been made to show that these entry requirements eventually guarantee successful academic performance in engineering programs because the data required for such validation are not readily available. In this data article, a comprehensive dataset for empirical evaluation of entry requirements into engineering undergraduate programs in a Nigerian university is presented and carefully analyzed. A total sample of 1445 undergraduates that were admitted between 2005 and 2009 to study Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) at Covenant University, Nigeria were randomly selected. Entry age, SSCE aggregate, UTME score, Covenant University Scholastic Aptitude Screening (CUSAS) score, and the Cumulative Grade Point Average (CGPA) of the undergraduates were obtained from the Student Records and Academic Affairs unit. In order to facilitate evidence-based evaluation, the robust dataset is made publicly available in a Microsoft Excel spreadsheet file. On yearly basis, first-order descriptive statistics of the dataset are presented in tables. Box plot representations, frequency distribution plots, and scatter plots of the dataset are provided to enrich its value. Furthermore, correlation and linear regression analyses are performed to understand the relationship between the entry requirements and the corresponding academic performance in engineering programs. The data provided in this article will help Nigerian universities, the NUC, engineering regulatory bodies, and relevant stakeholders to objectively evaluate and subsequently improve the quality of engineering education in the country.
Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university
(2018) Popoola SI; Atayero AA; Badejo JA; John TM; Odukoya JA; Omole DO
Empirical measurement, monitoring, analysis, and reporting of learning outcomes in higher institutions of developing countries may lead to sustainable education in the region. In this data article, data about the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002–2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.
Influence of talent retention strategy on employees׳ attitude to work: Analysis of survey data
(2018) Oludayo OA; Akanbi CO; Obot BM; Popoola SI; Atayero AA
In this data article, an analysis on the strategies for talent retention in Covenant University and the corresponding effects on employees’ attitude to work was presented. The study population included the academic staff of Covenant University, which has a population of 530 employees, but a sample size was determined using Yamen׳s formula. The data obtained through survey questionnaires were analysed using Statistical Package for Social Sciences (SPSS). Linear regression was used to model the effect of talent retention strategy on employees’ attitude to work. This information is made publicly available to aid empirical researches on the subject of talent management in organizations.
Data on entrepreneurship education and entrepreneurial performance of aspiring entrepreneurs in selected Nigerian universities
(2018) Ogbari ME; Olokundun MA; Uzuegbunam J; Isiavwe DT; Ilogho JE; Obi JN; Moses CL
Entrepreneurs are individuals who have a constant feeling of desperation that is from time to time seen in organizations. While the number of entrepreneurship education programmes are increasing, their impact is under-researched and studies paint an unclear picture of the impact of entrepreneurship education. This present study presents data on the extent to which university entrepreneurship education programmes stimulate the entrepreneurial performance of aspiring entrepreneurs in Nigeria. Data was collected using a descriptive cross-sectional quantitative survey conducted among university students (N = 540) of selected institutions in Nigeria. Regression Analysis was used in confirming the hypotheses proposed in the study using the Statistical Package for Social Sciences (SPSS) version 22. University entrepreneurship education is confirmed to be a major source of inspirational triggers that positively impact on entrepreneurial performance of aspiring entrepreneurs in the selected universities in Nigeria. The field data set is made widely accessible to allow for critical inquiry.

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