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One test cell was built exactly as the social housing unit, while the second test cell included a low-cost Trombe wall. Five temperature sensors were installed in the test cells. The thermal performance of the TW was monitored and analysed for the first time in Chile, providing insights in the thermal performance of the TW and proving the potential effectiveness of seasonal variations to improve winter and summer performances. © 2020 Published by Elsevier Inc.This article reports the data required for planning attenuation-based X-ray characterisation e.g. X-ray computed tomography (CT), of lithium-ion (Li-ion) battery cathodes. SM04690 mouse The data reported here is to accompany a co-submitted manuscript (10.1016/j.matdes.2020.108585 [1]) which compares two well-known X-ray attenuation data sources Henke et al. and Hubbell et al., and applies methodology reported by Reiter et al. to extend this data towards the practical characterisation of prominent cathode materials. This data may be used to extend beyond the analysis reported in the accompanying manuscript, and may aid in the applications for other materials, not limited to Li-ion batteries. © 2020 The Author(s).Platelet lysate has attracted attention for different biomedical applications, including biological processes where cellular proliferation and migration have been altered. Spectroscopic properties of a platelet lysate obtained from human platelets were performed in order to be incorporated in polymeric nanoparticles and then into a PluronicⓇ F127 hydrogel, intended for wound healing (more details can be found at https//doi.org/10.1016/j.ejps.2020.105231 [1]). The platelet lysate (PL) was assessed by ultraviolet, infrared and circular dichroism spectroscopy. The developed hydrogel was also analyzed by infrared spectroscopy to evaluate if the PluronicⓇ F127 structure was maintained when the nanoparticles or platelet lysate-loaded nanoparticles were included. The sol-gel transition temperature of the hydrogel was determined through its thermal behavior and by dynamic light scattering. © 2020 Published by Elsevier Inc.In this article, we present the datasets which are used to estimate the turbulent kinetic energy dissipation rates and vertical diffusivity in the Indonesian seas. An archived CTD (conductivity, temperature, depth) datasets collected between 1990 and 2016 with 1 m vertical resolution is presented and analyzed using an improved Thorpe method. The direct estimates dataset of the dissipation rate from two research expeditions, i.e., INDOMIX Program in 2010 and TOMTOM Program in 2015 were also presented, available to be compared with the indirect estimates from CTD profiles. We also present the dissipation rate output of three recent regional internal tide models in the Indonesian seas for comparison with microstructure measurements and improved Thorpe estimates. The datasets refer to "Spatial structure of turbulent mixing inferred from historical CTD datasets in the Indonesian seas" [1]. © 2020 Published by Elsevier Inc.Many optimized linear algebra packages support the single- and double-precision floating-point data types. However, there are a number of important applications that require a higher level of precision, up to hundreds or even thousands of digits. This article presents performance data of four dense basic linear algebra subprograms - ASUM, DOT, SCAL, and AXPY - implemented using existing extended-/multiple-precision software for conventional central processing units and CUDA compatible graphics processing units. The following open source packages are considered MPFR, MPDECIMAL, ARPREC, MPACK, XBLAS, GARPREC, CAMPARY, CUMP, and MPRES-BLAS. The execution time of CPU and GPU implementations is measured at a fixed problem size and various levels of numeric precision. The data in this article are related to the research article entitled "Design and implementation of multiple-precision BLAS Level 1 functions for graphics processing units" [1]. © 2020 The Author(s).The Fundamental Clustering Problems Suite (FCPS) offers a variety of clustering challenges that any algorithm should be able to handle given real-world data. The FCPS consists of datasets with known a priori classifications that are to be reproduced by the algorithm. The datasets are intentionally created to be visualized in two or three dimensions under the hypothesis that objects can be grouped unambiguously by the human eye. Each dataset represents a certain problem that can be solved by known clustering algorithms with varying success. In the R package "Fundamental Clustering Problems Suite" on CRAN, user-defined sample sizes can be drawn for the FCPS. Additionally, the distances of two high-dimensional datasets called Leukemia and Tetragonula are provided here. This collection is useful for investigating the shortcomings of clustering algorithms and the limitations of dimensionality reduction methods in the case of three-dimensional or higher datasets. This article is a simultaneous co-submission with Swarm Intelligence for Self-Organized Clustering [1]. © 2020 The Author(s). Published by Elsevier Inc.The Transient Electro-Magnetic (TEM) geophysical technique was deployed to map and characterized the subsurface of Pahang River Basin along the East Coast Peninsula Malaysia. The data aimed at differentiating between the massive zones and the weak zones within the region, to also assess and differentiate the subsurface structures and comes up with recommendations for policy decision, formulation and plans on the flooding impact, surface water and groundwater managements, in addition to other environmental related issues ravaging the area. The data presented in this paper, showed the properties of the subsurface rocks underlain the region as beneficial to the Agriculturists; Climatologists; Engineers; Environmentalists; Geoscientists, Hydrologists and Policy formulation officers. The TEM data collection utilized a 100 m x 100 m single loop coil for both the Transmitter (Tx) loop and the Receiver (Rx) loop to produce a total surface area coverage of 10,000 m2 per survey line along a single profile. The total area covered in the data extended across an average area of 30 km x 40 km in parts of Maran, Temerloh and Jerantut districts, within the State of Pahang, East Coast, Peninsula Malaysia.