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First Name: 
DIKSHA
Last Name: 
SHUKLA

Datasets & Competitions

The CoVID19-FNIR dataset contains news stories related to CoVID-19 pandemic fact-checked by expert fact-checkers. CoVID19-FNIR is a CoVID-19-specific dataset consisting of fact-checked fake news scraped from Poynter and true news from the verified Twitter handles of news publishers. The data samples were collected from India, The United States of America, and European regions and consist of online posts from social media platforms between February 2020 to June 2020. The dataset went through prepossessing steps that include removing special characters and non-vital information.

Instructions: 

The CoVID19-FNIR.zip folder contains the whole dataset. The folder has two files; (1) fakeNews.csv, and (2) trueNews.csv. The data in .csv files contain the news article and the corresponding fake rating collected from the USA, India, and Europe regions. A more detailed description of the data is given in the CoVID19-FNIR_Documentation.pdf file.

Acknowledgment: This data collection and documentation was supported in part by the NSF: CO-WY AMP program, the Social Justice Research Center, and McNair Scholars Program, University of Wyoming, USA.

Please cite: Julio A. Saenz, Sindhu Reddy Kalathur Gopal, Diksha Shukla, June 12, 2021, "Covid-19 Fake News Infodemic Research Dataset (CoVID19-FNIR Dataset)", IEEE Dataport, doi: https://dx.doi.org/10.21227/b5bt-5244.

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BS-HMS-Dataset is a dataset of the users' brainwave signals and the corresponding hand movement signals from a large number of volunteer participants. The dataset has two parts; (1) Neurosky based Dataset (collected over several months in 2016 from 32 volunteer participants), and (2) Emotiv based Dataset (collected from 27 volunteer participants over several months in 2019). 

Instructions: 

There are two folders under each user; session I and sessions II. Each session folder contains four different folders; one for each activity performed by the user. Each activity folder contains .csv files; (1) EEG Data (brainwave.csv), (2) Handmovement Accelerometer Data (accelerometer.csv), and (3) Handmovement Gyroscope Data (gyroscope.csv).

A more deatailed description of the data is given in BS-HMS-Dataset-Documentation.pdf file.

Acknowledgement: This data collection was supported in part by the National Science Foundation (NSF) under grant SaTC-1527795.

Please cite: [1] Diksha Shukla, Sicong Chen, Yao Lu, Partha Pratim Kundu, Ravichandra Malapati, Sujit Poudel, Zhanpeng Jin, Vir Phoha, "Brain Signals and the Corresponding Hand Movement Signals Dataset (BS-HMS-Dataset)", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/my1k-dd23. Accessed: Dec. 05, 2019.

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