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    2018-11-12


    Acknowledgements
    Specification Table
    Value of the data
    Data The data for this study has been analysed to a certain extent, archived and updated at each draw in [1]. This data article contains data generated from different approach other than what was contained in [1] and it is publicly available. The data was on gathered on draw by draw basis. The data is divided into two periods; buy NU 7441 A: when the lotto numbers are from one to forty nine (19/11/1994–7/10/2015) and period B: when the lotto numbers are from one to fifty nine (10/10/2015–10/5/2017). The draws for periods A and B are 2065 and 166 respectively. The data obtained for periods A and B when the winning numbers are classified using certain number criteria are shown in Tables 1–4. The frequency distribution of the lotto winning numbers when they are classified according to their digital roots is shown in Table 6 and the various lotto numbers that constitute each digital root are listed in Table 5. This article also introduces the use of the frequencies of digital root in chi-square tests. Finally, simulated data showed the uniformity, randomness and non-normality of occurrence of winning numbers in UK lotto game.
    Methods and materials Various aspects of statistical, mathematical and psychological analysis of lottery have been considered [12–18].
    Acknowledgement This work is a benefit of sponsorship from Centre for Research, Innovation and Discovery, Covenant University, Ota, Nigeria.
    Data The data contains geostatistical analysis of twenty (20) samples of limestone obtained from the Ewekoro limestone Formation in the eastern Dahomey basin, Southwestern Nigeria. The samples were purified and analysed for heavy metal concentrations using the MPAS. The heavy metals detected from the samples are Arsenic (As), Mercury (Hg), Cadmium (Cd), Cobalt (Co), Chromium (Cr), Nickel (Ni), Lead (Pb), Vanadium (V) and Zinc (Zn). The detailed composition is shown in Table 1. The presence of these heavy metals causes contamination. The descriptive statistics is shown in Table 3. Further analysis was conducted to deepen our understanding on the statistical relationships of the samples. The analysis can be replicated on other limestone Formations and the mean heavy metal concentrations can be compared with the recommended limits.
    Experimental design, methods and materials Several data analysis has been carried out on the physical, geological and geophysical characteristics of the Ewekoro limestone formation in the eastern Dahomey basin, Southwestern Nigeria. Some of the works include: factors causing differentials in the shear velocities, Lithotype representation by Nuclear Magnetic Resonance (NMR) and blastability properties, investigation of allochemical and orthochemical components of the limestone formation, ground vibration and noise generated during blasting, gas generating potential and prospects, estimation of thermal conductivity, assessment of reservoir potential, isotopic elements composition and diagenesis. Others include: Organic geochemical analysis and appraisal, elemental analysis, distribution of tree oxides and groundwater composition [14–28].
    Acknowledgement The research was sponsored by Centre for Research, Innovation and Discovery, Covenant University, Ota, Nigeria.
    Data Response Data for Question 1. Self reported age range. Response Data for Question 2. Self Reported Nationality. Response Data for Question 3. Self-reported Gender Identity. Response Data for Question 4. On a 1-to-10 scale (10 highest concern), how concerned are you about the topic of ‘global warming. Response Data for Question 5. Do you believe that substances commonly referred to as ‘greenhouse gases’ (such as carbon dioxide or methane) have the ability to warm Earth\'s atmosphere? Response Data for Question 6. Complete the following statement based on your opinion. If Earth\'s atmosphere had no carbon dioxide or water vapor present within it, I feel that Earth\'s average temperature would be _________________.