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Dataset results
8 results for “Wireless communication”
PMU measurements altered by wireless communication such as 3G, 4G, 5G
<p><span>Dataset which shows the effect of three types of wireless communication (e.g., 3G, 4G, and 5G, respectively) on data integrity of two real Phasor Measurement Unit (PMU) measurements which are sent to a virtual Phasor Data Concentrator (vPDC) for timestamp synchronization function. Each file contains the values of the two real PMUs installed at each end of a high voltage (HV) transmission line located in a transmission power grid in South Europe. The datasets were collected using an advanced Power-Hardware In the Loop (P-HIL) setup, including in the communication loop between the PMUs and the vPDC a hardware network emulator. The later had the role to realistically emulate the macroscopic behavior of the communication delays and packet data loss of the three wireless communication networks. The delays and data packet loss were imposed only at one of the two PMUs (PMU Lab1) considering a power grid system running in balanced operation conditions. Therefore, only phase A was recorded in the data, and the reason why the current values from phase B and phase C are almost zero. </span></p>
Data for Secure communication in IP-based wireless sensor networks via a trusted gateway publication
<p>This archive file contains the raw data obtained from Contiki sensor nodes during Cooja experiments in the folders e2e, terminate, terminate_1st and plaintext.</p> <p>The archive accompagnies the IEEE ISSNIP 2015 publication titled "Secure communication in IP-based wireless sensor networks via a trusted gateway" by Floris Van den Abeele, Tom Vandewinckele, Jeroen Hoebeke, Ingrid Moerman and Piet Demeester.</p> <p><br /> Also included is the data_parser python script that converts the raw data into CSV files that are parseable by R. The script contains the definitions of the contents of the raw data files.<br /> Finally, the R scripts that use the CSV files to generate the plots from the paper are also included.</p>
Data accompanying "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications"
<p>This dataset contains measurement data for the results presented in "Integrated Dual-Laser Photonic Chip for High-Purity Carrier Generation Enabling Ultrafast Terahertz Wireless Communications".</p>
Raw Experimental Data for work presented in 'Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals'
<p>This is the raw experimental data for the work presented in 'Leveraging Chaos for Wave-Based Analog Computation: Demonstration with Indoor Wireless Communication Signals', to be published in Physical Review X.</p> <p> </p> <p>https://journals.aps.org/prx/accepted/dc07aKdcFa91ea06d2949139dac733fa62ce1c02c</p> <p> </p> <p>See the README files and sample pieces of codes for an explanation of the data.</p>
Bolus Calculator and Wireless Communication With Blood Glucose Meter in Management of Type 1 Diabetes Mellitus (T1DM).
ClinicalTrials.gov study NCT01677546. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Dataset: Model-based Cognitive Communications for Low-power Wireless Networks
<p>Dataset: Model-based Cognitive Communications for Low-power Wireless Networks</p>
AERPAW UAV-based signal data collected at varying altitudes and sampling rates for wireless communication studies
Open the record for dataset details and reuse information.
Communication Optimizations for a Wireless Distributed Prognostic Framework
Distributed architecture for prognostics is an essential step in prognostic research in order to enable feasible real-time system health management. Communication overhead is an important design problem for such systems. In this paper we focus on communication issues faced in the distributed implementation of an important class of algorithms for prognostics – particle filters. In spite of being computation and memory intensive, particle filters lend well to distributed implementation except for one significant step – resampling. We propose new resampling scheme called parameterized resampling that attempts to reduce communication between collaborating nodes in a distributed wireless sensor network. Analysis and comparison with relevant resampling schemes are also presented. A battery health management system is used as a target application.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.