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Supplementary data supporting the manuscript updated with 4 donor results to replace the previous dataset from one donor
Data Types:
  • Dataset
  • Document
These data stem from three individual studies aimed to develop and validate the DAT instrument. Link to resulting paper soon to be provided.
Data Types:
  • Software/Code
  • Dataset
Raw test data from SEAI funded ACCORD project. Results are from helical foil fatigue testing under radial load at ultimate limit state for ORPC's RivGen Power System. Load was applied at two locations along foil span to test turbine foil strength as well as composite clamp joint strength. The data highlights that the joint design is capable of handling the load applied where strain increase with cycles of load converged over time.
Data Types:
  • Other
  • Image
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R scripts for organizing, analyzing, and visualizing data for the "Power and Accommodation" project
Data Types:
  • Software/Code
  • Tabular Data
  • Dataset
  • Document
Table 3 – Further characterisation of the digestates (determinations made by NRM lab)
Data Types:
  • Dataset
  • Document
The study was conducted in 2018 on the factors determining child mortality at the community level in Nigeria were this kind of data is rarely available. The data collection was done by employing multi-stage cross-sectional survey technique conducted at the Local Government Area (LGA), Primary Health Care (PHC) facilities, and at he individual levels.The unit of analysis is pregnant women attending ante-natal care who had given birth to at least a child three years before the time of the study. The total sample was 1350 pregnant women collected at 20 Primary Health Care facilities in Ifo Local Government Area of Ogun State Nigeria. Key data collected included socio-demographic characteristics, environmental factors, child mortality, immunization, breastfeeding practices, preventable diseases, accessibility to health facilities among others.
Data Types:
  • Software/Code
  • Dataset
  • Document
Table 4 – Further characterisation of the ashes (in house analyses)
Data Types:
  • Dataset
  • Document
In Supplementary data, M(H) curves, measured at 2 K, 100 K, 230 K and 300 K in magnetic field perpendicular to the microwire axis, approximated angular depend-ences of the magnetic moment in different applied fields, series of the hysteresis loops recorded by Kerr microscope scanning along microwire length at 300 K, temperature dependence of the anisotropy field, magnetic susceptibility, M(H) loops at T = 2 K after cooling at different fields in a range from +10 kOe to -10 kOe. The series of biased M(H) loops corresponding to different temperatures are placed. OPJ files for Origin 7.0 and higher versions are titled correspondently to theit meanings.
Data Types:
  • Software/Code
  • Dataset
  • Document
Table 5 – Procedures for the determination of pH and EC in digestate and soil samples
Data Types:
  • Dataset
  • Document
The dataset is related to linear rock cutting experiments on concrete samples that consisted of different concrete mixtures. It is a supplement to scoping study using a procedural evaluation routine to analyse cutting Force Component Ratios (FCR) that could be used for the identification of changing mechanical rock properties during mechanical excavation. It focuses on the use of FCR in conjunction with point attack picks. The cutting depth and the spacing-to-depth ratio were varied at three levels each. 6, 8 and 12 mm for cutting depth (Coded as DZ in Dataset), the spacing ration at levels of 2, 3 and 4. In the dataset, the resulting spacing is stored as DY. Two artificial rock samples were tested. The samples were composed of two respective three different zones of concrete. The first block’s zones had a nominal cubic Uniaxial Compressive Strength (UCS) of 85 MPa (Zone 3) and 45 MPa (Zone 2). The zones of the second block were 85 (Zone 3), 45 (Zone 2) and 25 MPa (Zone 1). For each combination of cutting parameters, a whole layer of a specimen was cut in such a way that each cut groove crossed the different zones. In total, 414 single cuts were conducted to achieve reliable results. A procedural evaluation process was developed to assess the potential of Force Compononent Ratios for material differenciation based on statistical descriptors. The descriptors used where: arithmetic mean, geometric mean, median, interquartile range, 0.95-quantile, variance coefficient. A classification algorithm implemented in R was utilized to classify all combinations of statistical descriptors and Force Component Ratio. In total 72, combinations of Force Component Ratio and statistical descriptor were classified, 9 combinations were classified as suitable, 10 as partially suitable and the rest as unsuitable. The results imply that an FCR material differenciation based an raw cutting force measurements could be a tool for material diferenciation during mechanical excavation
Data Types:
  • Software/Code
  • Image
  • Tabular Data
  • Dataset
  • Text
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