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  • The paper concerns about health equity issue during and after COVID-19 pandemic.
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  • This repository provides additional data to accompany the paper: "Thermodynamics, Electronic Structure, and Vibrational Properties of Sn(n)[S(1–x)Se(x)](m) Solid Solutions for Energy Applications" D. S. D. Gunn, J. M. Skelton, L. A. Burton, S. Metz and S. C. Parker Chemistry of Materials 31 (10), 3672-3685 (2019), DOI: 10.1021/acs.chemmater.9b00362 This article examines the properties of four solid-solution models: Pnma and rocksalt Sn[S,Se], Sn[S,Se](2) and Sn(2)[S,Se](3). This repository makes available a full set of data for all of the ~5,000 symmetry-unique structures across the four sets of calculations, including: * Optimised structures; * Calculated total energies and degeneracies; * Calculated bandgaps and partial density of states (PDoS) curves; * Simulated dielectric functions; and * Data from lattice-dynamics calculations on selected structures. In addition, the thermodynamically averaged pair-distribution functions, PDoS curves, dielectric functions, and structural-similarity analyses presented in the paper, calculated based on a 900 K formation temperature, are also provided. Finally, the repository also contains sample input files for the Vienna Ab initio Simulation Package (VASP) code. For details of how this data was generated, viewers are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
    Data Types:
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    • Software/Code
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  • The simulations are built under ASTM E2954. The material properties can be found from https://doi.org/10.1016/j.compscitech.2019.107922. The compression properties are assumed to be the same as the tension ones. The fibers are modeled to have stochastic waviness and nonuniform distribution.
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  • Data regarding the perceived air pollution are collected by means of an online survey distributed between 11-05-2020 and 31-05-2020 in Australia, Brazil, China, Ghana, Italy, India, Iran, Norway, South Africa and the United States. The survey respondents are asked to evaluate the perceived air pollution quality before and during the COVID-19 restrictions according to a Likert scale varying from "1=extremely low/absent" to "7= extremely high". Overall, the data shows that an improvement in air quality is perceived by the respondents in all the ten investigated countries. The online survey has been created with Google Forms and WenJuanXing and conveniently translated into Chinese, English, Italian, Norwegian, Persian, Portuguese and has been distributed via email, social media and professional networks. Overall, the total number of respondents is approximately equal to 10 000.
    Data Types:
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  • This dataset was acquired to investigate spatio-temporal properties of spinal resting-state fluctuations using a dynamic connectivity approach, the SPiCiCAP framework. Details can be found in the related publication: Kinany, N., Pirondini, E., Van De Ville, D., and Micera, S. (2020). Dynamic functional connectivity of resting-state spinal cord fMRI reveals fine-grained intrinsic architecture. Neuron. === Data === We provide a spinal cord fMRI dataset containing 22 healthy subjects, with a resting-state scan (15 minutes) for each participant. Raw, processed and analyzed data are included. === Code === The SPiCiCAP framework comprises the following steps: 1- Processing pipeline for spinal cord fMRI 2- Extracting iCAPs (i.e., networks based on dynamic functional connectivity) 3- Analyze iCAPs spatio-temporal properties
    Data Types:
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  • This repository provides additional data to accompany the paper: "Lattice dynamics of Pnma Sn[S(1-x)Se(x)] solid solutions: energetics, phonon spectra and thermal transport" J. M. Skelton, Journal of Physics: Energy 2, 025006 (2020), DOI: 10.1088/2515-7655/ab7839 This article examines the effect of alloying on the energetics, lattice dynamics and thermal transport of Pnma Sn[S,Se] solid solutions. This repository makes available a full set of lattice-dynamics calculations on ~1,300 structures across nine compositions, including: * Calculated phonon density of states (DoS) curves; * Unfolded band dispersions; * Thermodynamic functions; * Group velocities; and * Two-phonon joint density of states (JDoS) functions. In addition, the thermodynamically averaged DoS curves, unfolded dispersions, group velocities and JDoS functions discussed in the paper, calculated based on a 900 K formation temperature, are also provided. Finally, the repository also contains input files used for the calculations, including files for the Vienna Ab initio Simulation Package (VASP) and Phonopy codes. For details of how this data was generated, viewers are referred to the published article and supporting information. Brief details of file formats and links to further documentation are given in the included README file.
    Data Types:
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    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
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  • MLRSNet provides different perspectives of the world captured from satellites. That is, it is composed of high spatial resolution optical satellite images. MLRSNet contains 109,161 remote sensing images that are annotated into 46 categories, and the number of sample images in a category varies from 1,500 to 3,000. The images have a fixed size of 256×256 pixels with various pixel resolutions (~10m to 0.1m). Moreover, each image in the dataset is tagged with several of 60 predefined class labels, and the number of labels associated with each image varies from 1 to 13. The dataset can be used for multi-label based image classification, multi-label based image retrieval, and image segmentation. The Dataset includes: 1. Images folder: 46 categories, 109,161 high-spatial resolution remote sensing images. 2. Labels folders: each category has a .csv file. 3. Categories_names. xlsx: Sheet1 lists the names of 46 categories, and the Sheet2 shows the associated multi-label to each category.
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  • Dataset of paper: Optimized sequential method assisting design and implementation of electro-pneumatic/hydraulic circuit
    Data Types:
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    • Software/Code
    • Image
    • Video
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  • This database contains images of defects in paved roads in Brazil. The database was developed using images provided by DNIT (National Department of Transport Infrastructure), through the Access to Information Law - Protocol 50650.003556 / 2017-28. The database contains: * 2235 images from highways in the states of Espirito Santo, Rio Grande do Sul and the Federal District, caught between 2014 and 2017; and * Each image has 3 masks - binary images in png format - separated for each type of annotation: road, crack and pothole. The annotation of the road consisted of demarcating the total region corresponding to the vehicle's road. The annotation of cracks and potholes consisted of the selection of the defect as a whole, maintaining its shape as much as possible.
    Data Types:
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  • The dataset includes all data collected and analysed for the study on "Physical distancing and risk of COVID-19 in small-scale fisheries: A remote sensing assessment in coastal Ghana." The novel coronavirus is predicted to have dire implications on global food systems including fisheries value chains due to restrictions imposed on human movements in many countries. In Ghana, food production, both agriculture and fisheries, is exempted from restrictions as an essential service. We employed an Unmanned Aerial Vehicle (UAV) in assessing the risk of artisanal fishers to the pandemic using physical distancing as a proxy. From analysis of cumulative distribution function (G-function) of the nearest-neighbour distances (NND), this study underscored crowding at all surveyed fish landing beaches and identified potential “hotspots” for disease transmission. Aerial images were obtined. The locations of people in orthomosaic images were manually extracted as point data in ESRI ArcMap v.10.3 using the editor tool. From the point data, the distance from each point to the nearest other point, that is the nearest-neighbour distance (NND), was measured for all individuals presents in each of the six landing beaches in this study. The median distances were compared to the World Health Organisation (WHO) and Centre for Disease Control (CDC) standards on physical (social) distancing.
    Data Types:
    • Dataset
    • File Set