The datasets were collected by operating the testbed (simulation of small-scale of IEC 61850-compliant SASs) under four types of behaviours: 1) normal operation when no unusual events happen; 2) emergency operation when non-malicious events (e.g., short-circuit faults) happen; 3) an attack under normal operation to disrupt energy transmission; and 4) an attack under emergency operation to stop protection mechanisms or trigger undesirable protection operations.
This is the dataset for the paper Bayesian Inference of Sector Orientation in LTE Networks based on End-User Measurements published at VTC 2021 - Fall.
It includes a set of Drive-Test RSRP Pathloss Measurements with their relative position to the corresponding eNodeB. In total it contains data for 91 three-sector eNodeBs, which results in 273 sectors.
The measurements were conducted with an PCTEL MXFlex Scanning Receiver in an operational LTE network, where both the eNodeB position and Sector orientation are confirmed by a major Austrian network operator.
This dataset presents a collection of coordinates that belongs to paths generated with a 3D disjstkra algorithm,in diferents enviroments,with a grid size equal to one. The output is a six dimension vector that represents the action taken by the agent (z+,z-,y+,y-,x+,x-) based on his pose, sensors readings and the target.
This dataset is composed of 580 mannually annotated images of shuttle tanker vessels, FPSO and FSO oil rigs. The images were obtained from simple Google search and some of them are 3D models generated from modelling software and used in Gazebo robotics simulations. The images were annotated using Computer Vision Annotation Tool (CVAT), and for each of them there is a .xml Pascal VOC file where the boxes are. The annotated objects were the ship itself and its generic regions, named as bow, mid-ship and stern.
We have prepared a synthetic dataset to detect and add new devices in DynO-IoT ontology. This dataset consists of 1250 samples and has 35 features, such as feature-of-interest, device, sensor, sensor output, deployment, accuracy, unit, observation, actuator, actuation, actuating range, tag, reader, writer, etc.
Columns are genes, miRNAs, drugs, or cnv. Rows are patient identifiers or cell lines.
In our study, datasets of two simulators, namely phasor-based simulator and hybrid-type simulator are used. In the hybrid environment, first, the outputs of the phasor-based simulator are converted to instantaneous waveforms, then based on instruction, distortions and noises are added (superimposed) to these waveforms, and finally, the distorted waveforms are fed to the detailed model of PMUs simulated in EMT domain. Outputs of both simulators can be found in the submitted file.
The availability of labelled Cyber Bulling Types dataset has been exhibited for high profile Natural Language Processing (NLP), which constantly leads the advancement of constructing and model creation-based text. I aim at extracting diverse and efficient Cyber Bully Tweets from the Twitter Social Media Platform. This dataset contains 5 types of cyber bullying samples. They are
1. Sexual Harassment
2. Doxing
3. Cyberstalking
4. Revenge Porn
5. Slut Shaming
