Data on expert system-econometric entropy informatics model for adjudicating residential building project costs.

This data article presents an expert system and econometric entropy-based informatics model for residential building project for cost judgment and decisions in residential building project. The data was obtained using purposive sampling technique to select projects completed between 2009 and 2011in Lagos state Nigeria, the project were examined for their cost centres. Also, As-built cost of one thousand(1000) samples of trained As-built cost of residential building projects trained with Neural network with Levenberg Marqua after being adjusted and modified with econometric factors like inflation index, cost entropy and entropy factor to stabilized the data and were used to form and train neural network used. Probability technique was used to generate risk impact matrix and influence of entropy on the cost centres. A parametric model similar to hedonic models was generated using the utility parameters within the early and late elemental dichotomy. The model was validated through comparative analysis of the econometric loading attributes using Monte Carlo technique of SPSS software extracting the contingency coefficient. The data of the model can provide solution to the problems of knowing the cost implication of a future project and also enable a builder or contactor load cost implication of an unseen circumstance even on occasion of deferred cost reimbursement.

Dataset on sustainable construction practices of foreign and indigenous construction firms.

This dataset conducted a comparative analysis of sustainable construction practices of foreign and indigenous construction firms in Lagos state, Nigeria using a structured questionnaire survey. The dataset contains the level of awareness and consistency of practice of sustainable development on construction projects between the foreign and indigenous construction firms and the impact of implementing sustainable development practices. Descriptive analysis such as frequencies, percentage and mean score were used to present the quantitative data in form of tables. Further analysis of the dataset highlight the practices of indigenous and foreign construction firms in sustainable development which can be beneficial to stakeholders in environmental protection and mitigating climate change issues.

Data survey on public-private professionals role in building control measures within the Nigerian construction industry.

The data survey focused on building control measures which are critical in attaining sustainable built environment. The data examined the public and private professional׳s performance of building control measures and its barriers in Lagos. The targets consist of sixty (60) construction experts in public and private construction firms operating in Lagos. The sample size was generated from the pool of registered construction professional׳s from private and public construction organizations in Lagos using random sampling technique. Descriptive statistics and inferential tests which include Kruskal-Wallis and Mann-Whitney U tests were performed on the dataset generated. The data harvested will avail the construction expert׳s in public and private construction industry on the need for partnership in a bid to enhance building control measures performance in Lagos.

Data exploration on factors that influences construction cost and time performance on construction project sites.

This data article explores the factors that contribute to maintaining steady cost projection on construction projects. The data was obtained using structured questionnaire designed in Likert scale. The responses were solicited from category of construction practitioners. Simple random sampling was employed in the distribution of the questionnaires to the respondents. Data samples were analysed using severity index, ranking and simple percentages. The analysis of the data brought to fore some important data on factors that causes cost overrun, they include: contractor's inexperience, inadequate planning, inflation, incessant variation order, and change in project design. They are critical to causing cost overrun, while project complexity, shortening of project period and fraudulent practices are found to be responsible. The data fall within the percentages of possible consequences of cost overrun when compared with those available in scientific literature. The data can provide insights on how to mitigate the risks of project deviation from initial cost and as-built project.

Data of the properties of rebar steel brands in Lagos, Nigerian market used in reinforced concrete applications.

The data presented herein are compilations of the research summary of "Assessment of the Quality of Steel Reinforcement Bars Available in Nigerian Market" (Joshua et al., 2013) [1]. This data article provides information on the properties and cost of steel rebars used in reinforced concrete in Lagos, Nigeria. The data is based on the properties of 12 mm rebar brands which are the most used steel diameter in construction and they include actual diameters, yield strengths, ultimate strengths, ultimate/yield strength ratio, ductility and the cost of each brand. This data also contains the limiting standard properties of the highlighted properties in this data.

Data on mixing and curing methods effects on the compressive strength of concrete.

Curing, though important is sometimes underrated in concrete production. This dataset provided shows the effects of four (4) different methods of curing on two distinct mix ratios. The data provided in this article are for a study that was conducted on one hundred and sixty (160) cube samples of mix ratios 1:2:4 and 1:1.5:3 while employing four (4) different methods of curing. The data given in the article displays the finding of the study. The findings can aid in prediction and optimization of concrete behavior and compressive strength when any of the curing methods are utilized.

Data on the pozzolanic activity in coconut shell ash (CSA) for use in sustainable construction.

The data presented herein are results of the research summary of the investigation for pozzolanic activity in coconut shell ash (CSA) towards a sustainable construction. The data article provides information on the properties of Coconut Shell Ash that are indicative of pozzolanic activity as stated in ASTM C618-15 (2015) [1], BS EN 197-1 (2011) [2] and Joshua et al. (2018) [3]. The data are the physical property of the sand used in determining the binder strengths and the chemical and physical properties (oxide composition and Strength Activity Indices respectively) of the pulverized, calcined and sieved Coconut Shell Ash.