The Framingham Township Heart Institute offers a 10-year data set on coronary heart disease
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This dataset is Bill Proposal History of the Republic of Korea 20th National Assembly(2016-2020) Lawmakers. This dataset consists of 21,594 rows with 37 columns. Contents are mainly written in korean, so translation will be needed for foreign researchers. If any further instruction or information is needed, contact by minhan.nick.cho@gmail.com.
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Please cite the following paper when using this dataset:
N. Thakur and C.Y. Han, “An Exploratory Study of Tweets about the SARS-CoV-2 Omicron Variant: Insights from Sentiment Analysis, Language Interpretation, Source Tracking, Type Classification, and Embedded URL Detection,” Journal of COVID, 2022, Volume 5, Issue 3, pp. 1026-1049
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It contains two parts of sound and video, and they are in one-to-one correspondence.It is used for emotion recognition for speech and video and contains nine emotions.
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The files contain the results and control software associated with our research paper.
We address the problem of designing a modular method for the automatic design of robot swarms, which involves defining the modules that will be then automatically selected and assembled into an appropriate architecture (e.g., a finite-state machine or a behavior tree).
This data is associated with a paper in which we propose a method based on repertoires of neural networks automatically generated via a quality-diversity evolutionary algorithm.
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This dataset contains pipe images straight, right and left curves to support AUV navigation based on image.
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UDQ-based POE formula for the kinematic calibration of articulated robot
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Please cite the following paper when using this dataset:
N. Thakur, “A Large-Scale Dataset of Twitter Chatter about Online Learning during the Current COVID-19 Omicron Wave,” Journal of Data, vol. 7, no. 8, p. 109, Aug. 2022, doi: 10.3390/data7080109
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brats 中的训练集（ training set） 有285个病例，每个病例有四个模态（t1、t2、flair、t1ce），需要分割三个部分：whole tumor（WT）， enhance tumor（ET）， and tumor core（TC）.
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In this study, a primary IMU-based gait dataset has been collected from 30 participants using a MOTI goniometer. This device collects movement data related to specific joints depending on the location of the device. The MOTI sensor contains an IMU consisting of an accelerometer, gyroscope, and magnetometer. Accelerometers measure acceleration the acceleration of the device, gyroscopes measure angular velocity of the device, and magnetometers measure the magnetic field of the Earth. In our study, the device was attached to arm and leg (thigh) positions.
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