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  • Simulation of concentrations of nitrate, nitrite, dissolved oxygen, dissolved hydrogen, and biomass of denitrifying and nitrifying bacteria in continuous treatment using a pilot-scale reactor
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • This a data about the corona virus COVID-19. It contains the actual reported data. Also, it includes the predicted COVID-19 data in the future based on a model developed to predict in the future. The model used will be published in one of the journals later and will be found on my profile with title "Optimistic Prediction Model For the COVID-19 Coronavirus Pandemic based on the Reported Data Analysis". The daily folder contains the daily data. The predicted folder contains the predicted data for each country. The total cases folder contains the total cases for each country. he section folder contains a latex code for plotting the figures for each country. Also the source file from European Centre for Disease Prevention and Control is included. More updated files available in the website of European Centre for Disease Prevention and Control.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • The ground truth data used in this paper are obtained from three different areas to verify the effectiveness and robustness of the proposed methods. The detailed data information is described as follows: 1) The ground truth data from the Pecan Street dataset are collected from real households in the Muller project in Austin, TX, USA. Muller project funded by the U.S. Department of Energy and the U.S. National Science Foundation are located on the site of the Austin’s former municipal airport, close to central Austin.The selected homes in the project received monitoring equipment that captures electricity use on less than or equal to 1 min intervals for the whole home and 6 to 22 major appliances. Data over one year from August 2015 to July 2016 are analyzed, which contain the application-level and the whole-house energy consumption data. The corresponding 1-hour level temperature data are collected from the nearest Mueller weather station. We down-sample the energy consumption data to the 1-hour level to maintain consistency with the resolution of the temperature data. After data cleaning, customers without air conditioners or with missing readings are omitted, and the data of 119 residential customers are selected for accuracy analysis. 2) The ground truth data from smart home dataset are collected from real households in the Smart Home project in the Western Massachusetts, USA. The goal of this project is to optimize home energy consumption. The project involves several different types of dataset, including apartment dataset of 114 single-family, home dataset of 7 household and solar panel dataset, etc. However, the apartment dataset only contains the aggregated electrical data which can not be used to verify the accuracy of the load decomposition. Therefore, data over one year from January 2016 to December 2016 of home B and home G with individual ACLs monitor are selected for robustness analysis. 3) The ground truth data from low voltage distribution area are collected from low voltage distribution boxes in a developed city, Jiangsu province, China. Power and corresponding temperature data over one year from 2017 to 2018 are used for local DR programs. The dataset involves different distribution areas (i.e., different aggregated DR customers), including garment factory, hotel, rural neighborhoods, etc. However, the sub-meter data of all the ACLs are unavailable, thus it will only be used for aggregated DR potential analysis.
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Geospatial_Coordinates.csv [Postal code, latitude & longitude of data points in Toronto] FourSquareCategories.json [Categories and category IDs of FourSquare API] Processed_data_for_analysis.csv [Data file post data preparation and available for analysis]
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • A large collection of synthetic, path-traced renderings for use in multi-view stereopsis and 3D reconstruction applications. The material properties are primarily non-Lambertian (reflective metals). Ground truth depth maps, model geometry, object masks and camera extrinsic and intrinsic data is provided together with the rendered images. A total of 18,000 samples are provided (45 camera views for 400 scenes), varying the illumination using five, high-definition HDR environemnt textures, four models (teapot, bunny, armadillo and dragon), ten material properties (bricks, brushed metal, ceramic, checkerboard, concrete, copper, grunge metal, marble, piano/ivory, and steel) and two camera forcal lengths (35 mm and 50 mm). File descriptions: + ShinySMVS_sample.jpg - a visual collage of 8 scenes, illustrating the variability introduced by using different models, illumination, material properties and camera focal lengths. + sample_armadillo1bricks50mm.zip - A single ShinySMVS scene sample for easy viewing and download (31Mb). + ShinySMVS_576p.tar.xz - The full ShinySMVS dataset containing all 400 scenes (768x576 pixel resolution). Note that tar.xz archive used due to file size limitations (8.6Gb). + PFMdemo.zip - Python example source code for loading ground truth depth map (PFM file format) as a numpy array. + modelSTL - Stereolithography (STL) file for the models used in the dataset.
    Data Types:
    • Image
    • Dataset
    • File Set
  • Ab initio calculation files
    Data Types:
    • Image
    • Tabular Data
    • Dataset
    • Document
  • This data provides the raw and processed film thickness measurement results from a bespoke journal bearing test platform. Lubricant film thickness has been determined in the present work via a range of ultrasonic techniques, observing changes in signal amplitude, phase and resonant frequency. Test cases include steady state shaft-aligned, shaft-misaligned and shut-down operating conditions. Film thickness results are compared against the Raimondi-Boyd theoretical prediction model and gap sensor measurements. Please consult the corresponding research article "Circumferential Film Thickness Measurement in Journal Bearings via the Ultrasonic Technique" for more information and detail relating to this data set.
    Data Types:
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    • Software/Code
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  • In the study, a high-performance controlled short-circuiting metal transfer process at a wire feed rate of 12 m/min for WAAM with an Al-Mg-Mn alloying system was developed. The arc current and voltage waveforms were studied by oscillograms processing and then modified to reduce energy input in comparison with a self-regulated gas metal arc welding process. The newly developed process was implemented in manufacturing of the sample parts at a travel speed of up to 150 cm/min. Modified waveforms in a combination with an increased travel speed led to a decrease in heat input, which appeared to be 16% lower than that of a conventional self-regulated process. Decreased heat input lead to an improvement of the geometry preservation stability at high process rates (up to 2.2 kg/h). The mechanical properties study showed that the elongation of the tensile samples was up to 41%, the increase in elongation was explained through macro- and microstructure analysis. The provided data shows remarkable tensile test results and remarkable macro- and microstructure images, which were used to evaluate porosity and grain size in the study of the deposited metal properties. High-speed video of a metal transfer during deposition using the newly developed process along with a high-speed video of a wire feeding process are also presented in this dataset.
    Data Types:
    • Image
    • Video
    • Dataset
  • Retinal blood vessel segmentation(Retinopathy of Prematurity).
    Data Types:
    • Software/Code
    • Image
    • Dataset
  • Dataset.xlsx: Data of parental care related to botfly (Philornis sp.) infection status in a population of Neotropical blue-black grassquits (Volatinia jacarina). Sheets description: Sheet1_FULL_Dataset - Full data set; Sheet2_subset1 - Subset built to test for potential predictors of parasitism. This data subset contains data from nests that were video recorded before and after being parasitized and from nests that were not parasitized (control); Sheet3_subset2 - Subset of Dataset.xlsx built to compare parental behavioural differences between late and early nestling stages for non-infected and infected nests and for nests infected in late nestling stages (longitudinal approach). This data subset contains paired data from nests that were video recorded before and after being parasitized, nests that were parasitized during early and late nestling stages, and from nests that were not parasitized (control); Sheet4_figure_subset Subset of Dataset.xlsx built to make the Figure 1. Video S1.mp4: Samples of parental behaviour categories, presented in the following sequence: brooding, food provisioning, nest maintenance, interaction between parents, nest sanitation, and nest inspection. Video S2.mp4: Sample of a female performing vigorous movements during nest wall maintenance, to repair damaged nest wall or to extract larvae embedded in the nest wall. Data analyses Script.R: R script used to data analysis.
    Data Types:
    • Software/Code
    • Video
    • Tabular Data
    • Dataset