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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:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
    • File Set
  • 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.
    Data Types:
    • Tabular Data
    • Dataset
    • File Set
  • Dataset of paper: Optimized sequential method assisting design and implementation of electro-pneumatic/hydraulic circuit
    Data Types:
    • Other
    • Software/Code
    • Image
    • Video
    • Dataset
  • Heat table with all 195 countries and territories ordered in a heat table with rows from highest (most wealthy) to lowest (least wealthy), and each country was numerically ranked in the world from 1 (red, highest DALYs) to 195 (blue, lowest DALYs) for each disease in 2017. MEL (melanoma), BCC (basal cell carcinoma), SCC (squamous cell carcinoma), ORA (oral/lip cancer), ACN (acne), PSO (psoriasis), SEB (seborrheic dermatitis), CON (contact dermatitis), ALO (alopecia areata), PRU (pruritus), DEC (decubitus ulcer), ATO (atopic dermatitis), URT (urticaria), CEL (cellulitis), PYO (pyoderma), VIR (viral skin disease), SCA (scabies), FUN (fungal skin disease), SYP (syphilis), HIV (Human Immunodeficiency Virus).
    Data Types:
    • Dataset
    • Document
  • supplementary table 1~7, 10~11 of "Genome-scale profiling of circulating cell-free DNA signatures for early detection of hepatocellular carcinoma in cirrhotic patients"
    Data Types:
    • Tabular Data
    • Dataset
  • Most files are in SPSS formats.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • Data Types:
    • Dataset
  • All data for both primary outcomes (healthcare use and quality of life) which were used in the analysis
    Data Types:
    • Tabular Data
    • Dataset
  • This data was obtained from an assessment using an academic procrastination scale towards 586 students in the XIII semester at Makassar, Indonesia. Students respond to statements with a Likert-scale of 5,4,3,2,1, which represents strongly agree, agree, doubt, disagree, and strongly disagree, respectively.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
  • This dataset is associated with the article " A multi-agent system approach to exploit demand-side flexibility in an energy community”. The data presented allow to fully reproduce the model described in the article as it includes the data needed to simulate the residential and non-residential loads and all the remaining model’ components. Most of the data is presented with 1-minute time discretization. Please see the publication for more information about the variables and profiles displayed in this dataset.
    Data Types:
    • Tabular Data
    • Dataset
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