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Grocery store data
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SPSS 24 for this study
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PAHs emission inventory includeing BaP, PHE;
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The dataset contains the votes obtained by each party's candidates in the single seated districts in the Romanian parliamentary elections (Chamber of Deputies) in 2008.
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The data represented in this paper is to determine the effect of corporate social responsibility on the sustainability on selected downstream firms in Ondo State, Nigeria. The data analyzed the significant effect of social responsibility on environmental performance and the significant effect of legal responsibility on technical performance.
Data Types:
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Mineral and Chemical analysis data for metasedimentary rocks in Keewaywin Fm., Sandy Lake, NW Ontario
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Data from a behavioral pilot study including the factors 'distractor number' (0,1,or n), cue-target SOA (0 va 300 ms), and presentation mode (separated vs superimposed streams). Data from an ERP experiment including the factors 'cue-alone vs cue+target', 'hit vs miss', and electrode position.
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In this work we present ZEFR, a GPU accelerated flow solver based around the high-order accurate flux reconstruction (FR) approach. Written in a combination of C++ and CUDA, ZEFR is designed to perform scale resolving simulations within the vicinity of complex geometrical configurations. A unique feature of ZEFR is its support for overset grids; a feature which greatly expands the addressable problem space compared with existing high-order codes. The C++ implementation of FR in a manner which is suitable for modern hardware platforms is described in detail. Additionally, an overview of the input deck used by ZEFR is included. Validation results are presented for a range of steady and unsteady flow problems including Couette flow, the Taylor–Green vortex, and flow around an SD7003 aerofoil. Single node performance on a NVIDIA V100 GPU is analysed where it is shown that all of the kernels in ZEFR attain a high proportion of peak memory bandwidth. Moreover, multi-node performance is also assessed with strong scalability being demonstrated from 60 to 3840 NVIDIA V100 GPUs.
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Simultaneously acquired data from contactless and wearable devices for direct and indirect heart-rate measurement. For more details see related publication in Data in Brief journal by P.Pierleoni et al.
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The First Wifi-Based Localisation/Positioning Datasets for No-GPS Open Areas Using Smart Bins. There are two directories: datasets It contains two main types of datasets: 1- Fingerprint dataset fingerprint.csv contains four users who generated fingerprints using their mobile devices. 2- APs dataset APs.csv: a huge dataset contains auto-generate rss reported by APs. APs_users_date_time_label.csv: it contains a labelled APs_four_users_label.csv for four users only. scripts This directory contains all jupyter notebooks used to create datasets and provide statistical analysis (normalisation, t-test, etc.) and visualisations (historgrams, box-plots, etc_
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