The ANOVA test carried out on the data set for

The ANOVA test carried out on the data set for all sites and the result was displayed in Tables 4–6. The results showed significant differences in the means for solar Tipifarnib received quarterly at the stations independently. The results revealed that for Port Harcourt, significant differences lie within all other quarters except for the 1st and 4th quarters and for the 2nd and 4th quarters yearly as seen in Fig. 6. Similarly, Fig. 7 shows that for Sokoto, the 1st and 3rd quarters, 3rd and 4th quarters and the 2nd and 3rd quarters as having significant differences. Lastly, Fig. 8 shows that for Ibadan, significance differences exists between the 1st and 3rd Quarters, 2nd and 3rd Quarters and the 3rd and 4th Quarters for these years. Minitab17 software was implemented for analysis on the solar radiation data, which produced the ANOVA results and the Post Hoc test for the stations (Table 7).
Acknowledgement This work is sponsored by Centre for Research, Innovation and Discovery, Covenant University, Ota, Nigeria.
Data This brief article describes the use of new synthesized catalytic for removing a dye from synthetic wastewater and optimizing the process using Taguchi method. Table 1 presents the studied parameters and their ranges. In Table 2, we presented the signal-to-noise (S/N) ratio of each experiment from different arrangement (S/N ratio is a factor that is used for evaluating the experimental data). Table 3 illustrates the mean of the S/N ratio (MS/N) of each factor at a certain level. Fig. 1 shows the effect of each studied parameters on the S/N ratio. Fractional sum of squares and percentage contribution of each factors on the catalytic ozonation process efficiency in RB5 removal are illustrated in Table 4. Kinetic data are demonstrated in Table 5. Eventually, the process efficiency in removal of COD and RB5 was studied and the findings are depicted in Fig. 2.
Experimental design, materials and methods
Acknowledgments We would like to acknowledge the Hamadan University of Medical Sciences, Iran, for technical and financial supports (Grand number 9310305410) to conduct this work.
Specifications Table
Data Annual timberland characteristics and associated uncertainty values derived from USDA Forest Service (USFS) Forest Inventory and Analysis (FIA) annual inventory data [2] for years 2002–2014 are provided for two forested areas supplying bioenergy wood pellets shipped out of the ports of Savannah, Georgia, and Chesapeake, Virginia, in the southeastern United States (SE US). The annual estimates provided for each fuelshed include timberland volume of naturally regenerating stands (‘natural stands’) and plantations (Table 1), timberland area by stand-size class (Table 2), number of standing dead trees per hectare of timberland for natural stands and plantations (Table 3), and millions of metric tons of carbon calculated for three carbon pools (Table 4). A summary of all ten annual timberland variables and outlier values is provided for each fuelshed (Tables 5–7).
Experimental design, materials and methods
Acknowledgements This research was supported by the US Department of Energy (DOE) under the Bioenergy Technologies Office (DOE BETO Task # 4.2.2.40 of Agreement # 22601). Oak Ridge National Laboratory (ORNL) is managed by the UT-Battelle, LLC, for DOE under Contract DE-AC05-00OR22725. Special thanks to Helen Beresford, Jeff Turner, Tom Brandeis, and Sam Lambert of the USDA Forest Service Southern Research Station in Knoxville for their help with understanding and querying the Forest Inventory and Analysis (FIA) data. Thanks to Mithun Saha of Northeastern University for gathering the list of pellet mills used to generate the fuelshed areas for this analysis. And last, but not least, thank you to Latha Baskaran of ORNL and an anonymous reviewer for their comments on this manuscript.
Value of the data
Experimental design, materials and methods