Astronomy
This dataset is image data generated by matlab simulation based on star catalog, imaging process analysis, and space target characterization. There are three signal-to-noise ratios in the dataset, the signal-to-noise ratios are 0.7, 1, and 1.5.There are 10 groups of data under each signal-to-noise ratio, and each group of data contains 10 images. It can be used for research such as target detection and tracking.
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The WSO (Wilcox Solar Observatory at Stanford University) terrestrial observatory data, spanning 47 years of solar Mean Magnetic Field (MMF) values. The set also includes data from the WIND space mission's magnetometer (MAG), collected at the L1 Lagrangian point over the time interval of 27 years.
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Mission-integrated ⪅8nT magnetometer (MAG) data at Jupiter and Saturn, 100-minute averages. Data consist of the only available MAG measurements that spanned at least 6 months (180 Earth days), and include the Cassini–Huygens, Galileo, and Juno missions. Steven P. Joy and Joe Mafi (UCLA & NASA Planetary Data System/Planetary Plasma Interactions Node) provided concatenated and RTN-rotated Jupiter MAG 1-minute averages from Galileo and Juno, including random samples of field swelling.
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Cosmological simulation dataset based on LBNL compressible cosmological hydrodynamics simulation code Nyx (https://ccse.lbl.gov/Research/NYX/). The Nyx simulation data are post-analysis data composed of 3D arrays in space (such as dark matter density, baryon density, temperature, and velocity).
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North/South-separated <10nT magnetometer data from the 1994-2008 Ulysses space mission's samplings of polar solar winds, hourly averaged, non-decimated. The set also includes data from the WIND space mission, the WSO terrestrial observatory (solar Mean Magnetic Field), and the WSO solar Polar magnetic Field, all used in the same research project. The NOAA Solar Indices data (not included) were used for verification, see paper for details.
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In February 2016, LIGO announced the first observation of gravitational waves from a binary black hole merger, known as GW150914. To establish the confidence of this detection, large-scale scientific workflows were used to measure the event's statistical significance. These workflows used code written by the LIGO Scientific Collaboration and were executed on the LIGO Data Grid.
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The dataset contains two sets of planetary models used in the Reproducibility Challenge Student Cluster Competition at the SC19 conference. During this challenge the competitors reproduced parts of the SC18 paper: "Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver." by Shi, Jia, et al. (https://doi.org/10.1109/SC.2018.00074)
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In online shopping, consumers often rely on information such as sales, reviews or ratings to inform their decision making. Such preferences or user behaviors can be subjected to manipulation. For example, a merchant can artificially inflate product sales by paying a click farm. Specifically, the click farm will recruit a number of non-genuine buyers to purchase the products. After the purchases have been made, the buyers will either refund the product minus the commission or no product exchange actually takes place and these buyers are paid a commission for their role in the activity.
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