Other
Please cite the following paper when using this dataset:
N. Thakur, "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions", Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-97, DOI: https://doi.org/10.3390/analytics1020007
Abstract
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simulation results raw data-MGGSA
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Simulations based on time-dependent Ginzburg–Landau theory are employed to determine the critical current for a model system which represents a Nb–Ti-like pinning landscape at low drawing strain. The system consists of ellipsoids of normal metal, with dimensions 60ξ × 3ξ × 3ξ, randomly distributed throughout the superconducting bulk with their long axes parallel to the applied current and perpendicular to the field. These preciptates represent the α-Ti elongated precipitates which act as strong pinning centres in Nb–Ti alloys.
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This dataset contains individual traces of a published synthetic dataset generator for wireless mobile networks using SUMO. The generated dataset is done with the map of the city of Berlin as base. The dataset has 21 cells of 7 base stations. Separate files were generated for traffic and radio signal quality, but can be joined by using the UE identifier.
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The growth of the need for quantum computers in many domains such as machine learning, numerical scientific simulation and finance has necessitated that quantum computers produce stable results. However, mitigating the impact of the noise inside each quantum device presents an immediate challenge. In this paper, we investigate the temporal behavior of noisy intermediate-scale quantum (NISQ) computers based on calibration data and the characteristics of individual devices.
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In this data file are the ratings made by different subjects during an experiment evaluating 3 different products of two product typologies (desktop telephones and coffee makers) in three different media. In addition, their opinion about the overall evaluation of the product ("Like"), security in response and purchase decision was collected. The presence data collected is equivalent to the application of the SUS presence test.
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CONTENTS OF THIS FILE
- Data Analysis
- Experimental Design
Data Analysis
This folder consists of data obtained from the experiments and the materials we use for analysis. Here we provide the following documents:
01-The folder "Class diagrams"
This folder contains class diagrams realized by participants in three experiments.
02-Code.R
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The dataset contains the navigation measurements obtained in the indoor experiment field. The volunteers move on the whole 4th floor of the Building D of Dong Jiu Teaching classes at Huazhong University of Science and Technology. Meanwhile, the experimental area consists of a total area of 717 m 2. These datasets were used and can be used to test and validate the radio map database updating-based localization positioning algorithm through the RSSI signals space.
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The dataset contains the path loss measurements obtained with a LoRa (868 MHz) transmitting radio and five receivers. The receivers move in a search area covering both outdoor and indoor areas wherein a double-slope path loss is experienced. The data can be used to test range-based localization algorithm through the received signal strength.
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