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### Dataset: The perils and pitfalls of block design for EEG classification experiments

Ren Li, Jared S. Johansen, Hamad Ahmed, Thomas V. Ilyevsky, Ronnie B. Wilbur, Hari M Bharadwaj & Jeffrey Mark Siskind
Dataset asscociated with a paper in IEEE Transactions on Pattern Analysis and Machine Intelligence"The perils and pitfalls of block design for EEG classification experiments"DOI: 10.1109/TPAMI.2020.2973153 If you use this data, please cite the above paper.

### 2020_JOCN_Constellation_Dataset

Yuchuan Fan, Aleksejs Udalcovs, Xiaodan Pang, Carlos Natalino, Marija Furdek, Sergei Popov & Oskars Ozolins
This dataset contains constellation diagrams for QPSK, 16QAM, 64QAM, which we used for our research paper "Fast signal quality monitoring for coherent communications enabled by CNN-based EVM estimation"on JOCN.

### From Real Data of Wireless Sensor Networks based on TSCH, to a Prediction of Reliability, Power Consumption, and Latency (dataset)

Stefano Scanzio, Mohammad Ghazi Vakili, Gianluca Cena, Claudio Giovanni Demartini, Bartolomeo Montrucchio, Adriano Valenzano & Claudio Zunino
Performance of Wireless Sensor Networks (WSN) based on IEEE 802.15.4 and Time Slotted Channel Hopping (TSCH) has been shown to be mostly predictable in typical real-world operating conditions. This is especially true for performance indicators like reliability, power consumption, and latency. This article provides and describes a database (i.e., a set of data acquired with real devices deployed in a real environment) about measurements on OpenMote B devices, implementing the 6TiSCH protocol, made in different...

### Function of a,b,c

Satoshi Ichiki
In this simulation, the phase difference of the signals a, b, and c in the paper is changed to 0 in 0.1 seconds from the state where the phase is 90 degrees different from the input voltage. The input current phase is the same as the above signal. Since the output voltage gradually increases, it can be seen that the DC voltage of the matrix converter increases as the phases of a, b, and c...

### Function of a,b,c

Satoshi Ichiki
In this simulation, the phase difference of the signals a, b, and c in the paper is changed to 0 in 0.1 seconds from the state where the phase is 90 degrees different from the input voltage. The input current phase is the same as the above signal. Since the output voltage gradually increases, it can be seen that the DC voltage of the matrix converter increases as the phases of a, b, and c...

### HF single phase output

Satoshi Ichiki
A simulation of power conversion from three-phase to high-frequency single-phase with a matrix converter assuming a quick charger and a non-contact power supply device.

### FUZZ-IEEE Competition on Interpretable and Explainable Energy Prediction

Isaac Triguero
Imagine you just moved to your brand-new home and hired your energy provider. They tell you that based on the provided information they will set up a direct debit of €50/month. However, at the end of the year, that prediction was not quite accurate, and you end up paying a settlement amount of €300, or if you are lucky, they give you back some money. Either way, you will probably be disappointed with your energy...

### Retinal Fundus Multi-disease Image Dataset (RFMiD)

Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec & Fabrice Mériaudeau
Retinal Fundus Multi-disease Image Dataset (RFMiD) consisting of a wide variety of pathological conditions.

### Side Channel Data for Malware Intrusion Detection

Paul Maxwell, David Niblick & Daniel Ruiz
This dataset is composed of side channel information (e.g., temperatures, voltages, utilization rates) from computing systems executing benign and malicious code. The intent of the dataset is to allow aritificial intelligence tools to be applied to malware detection using side channel information.

### Drone Remote Controller RF Signal Dataset

Fatih Erden, Martins Ezuma, Chethan K. Anjinappa, Ozgur Ozdemir & Ismail Guvenc
This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone...

### Comparison of FOC BLDC control -- SMO vs flux observer

Abhishek Bansal
This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.

### Biomedical KEH B

Abhishek Bansal
This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system, Pulse oximeter sensor, Temperature sensor,Wireless communication ...the kinetic energymass-spring systemThis paper and dataset extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper and dataset,

### Comparison of FOC BLDC control -- SMO vs flux observer

Abhishek Bansal
This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Power Electronics".In this paper and dataset, speed and the position estimation of BLDC is done using the sensorless vector control method i.e., Field Oriented control (FOC). The performance comparison using Sliding Mode Observer (SMO) and flux observer.All this is implemented on 32-bit Real-Time microcontroller. The pins usage not mentioned here are used for other General-Purpose-CAN,USB, RS485 etc.

### Biomedical KEH B

Abhishek Bansal
This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper...

### Biomedical KEH B

Abhishek Bansal
This dataset is in support of my planned research paper shortly to be submitted to "IEEE Transactions on Circuits and Systems".It is known that in IOT wearable medical monitoting systems such as Heart rate monitor,Blood pressure sensor,Blood glucose system,Pulse oximeter sensor, Temperature sensor,Accelerometers,Wireless communication, etc., the voltage i The kinetic energy is always a challange. Author extends this to artificial leg(project which was abandoned by the author due to finances) or artifical handIn this paper...

### Comparison of Inverter

Abhishek Bansal
This dataset is in support of my planned research paper " Performance Optimizer " about to be submitted shortly to "IEEE Transactions on Power Electronics" (https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=63).

### Data for Article Electricity Load Forecast Considering Search Engine Indices

Xinyu Wu
It is a dataset of electricity load data and weather data of New York State.

### Integrated transmission and distribution system expansion planning under uncertainty: Test data and results

Gregorio Muñoz-Delgado, Javier Contreras, José M. Arroyo, Agustin Sanchez de la Nieta & Madeleine Gibescu
Data and results for the 36- and the 334-node test systems used for the integrated expansion planning problem of transmission and distribution systems.

### Drone Remote Controller RF Signal Dataset

Fatih Erden, Martins Ezuma, Chethan K. Anjinappa, Ozgur Ozdemir & Ismail Guvenc
This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone...

### Drone Remote Controller RF Signal Dataset

Fatih Erden, Martins Ezuma, Chethan K. Anjinappa, Ozgur Ozdemir & Ismail Guvenc
This dataset contains RF signals from drone remote controllers (RCs) of different makes and models. The RF signals transmitted by the drone RCs to communicate with the drones are intercepted and recorded by a passive RF surveillance system, which consists of a high-frequency oscilloscope, directional grid antenna, and low-noise power amplifier. The drones were idle during the data capture process. All the drone RCs transmit signals in the 2.4 GHz band. There are 17 drone...

### the Sintel 4D Light Field Videos dataset

Takahiro Kinoshita & Satoshi Ono
The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a clean'' pass after modifying the production file of Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}. A clean'' pass includes complex illumination and reflectance properties including specular reflections, such as smooth shading...

### the Sintel 4D Light Field Videos dataset

Takahiro Kinoshita & Satoshi Ono
The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a clean'' pass after modifying the production file of Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}. A clean'' pass includes complex illumination and reflectance properties including specular reflections, such as smooth shading...

### the Sintel 4D Light Field Videos dataset

Takahiro Kinoshita & Satoshi Ono
The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a clean'' pass after modifying the production file of Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}. A clean'' pass includes complex illumination and reflectance properties including specular reflections, such as smooth shading...

### the Sintel 4D Light Field Videos dataset

Takahiro Kinoshita & Satoshi Ono
The generated dataset consists of 23 synthetic 4D LFVs with 1,204x436 pixels, 9x9 views, and 20--50 frames, and has ground-truth depth values in the central view, so that can be used for training deep learning-based methods. Each scene was rendered with a clean'' pass after modifying the production file of Sintel'' with reference to the MPI Sintel dataset ~\cite{butler2012naturalistic}. A clean'' pass includes complex illumination and reflectance properties including specular reflections, such as smooth shading...

### Tweets Originating from India During COVID-19 Lockdowns

Rabindra Lamsal
This India-specific COVID-19 tweets dataset has been developed using the large-scale Coronavirus (COVID-19) Tweets Dataset, which currently contains more than 700 million COVID-19 specific English language tweets. This dataset contains tweets originating from India during the first week of each four phases of nationwide lockdowns initiated by the Government of India. For more information on filtering keywords, please visit the primary dataset page.— Dataset usage terms : By using this dataset, you agree to (i)...

• 2021
728
• 2020
7,601
• 2019
3,002
• 2018
309
• 2017
88
• 2016
23

• Dataset
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#### Affiliations

• Jacobs University
1