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IEC 61850 Profile for Distributed Energy Resources Supporting IEEE 1547
Data provided by National Institute of Standards and Technology
An icd (IED (Intelligent Electronic Device) Capability Description) file containing a model for an IEC 61850 profile for distributed energy resources supporting IEEE 1547.
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AM Bench 2022 challenge problem Subcontinuum Mesoscale Tensile Test (CHAL-AMB2022-04-MeTT)
Data provided by National Institute of Standards and Technology
One additively manufactured (AM) laser powder bed fusion (PBF-L) Inconel 625 mesoscale tensile specimen (gauge dimensions approximately 0.2mm x 0.2 mm x 1mm) was extracted from build AMB2022-CBM-B1 specimen TH1 and tested at room temperature using a quasistatic strain rate of 0.001/s to failure. Microstructure was measured using x-ray computed tomography (XRCT) and scanning electron microscopy (SEM) techniques on the specimen gauge section or adjacent material. Large-area electron backscatter diffraction was used to measure crystallographic texture and grain size/morphology of the entire
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AM Bench 2022 challenge Macroscale Tensile Tests at Different Orientations (CHAL-AMB2022-04-MaTTO)
Data provided by National Institute of Standards and Technology
Additively manufactured (AM) laser powder bed fusion (PBF-L) Inconel 625 blocks were built with two different scan strategies: XY and X-only. 96 tensile specimens were extracted from blocks at different tensile axis orientations with respect to the build direction to yield the following conditions: XY scan strategy (0, 30, 45, 60, and 90 degree orientation w.r.t. build direction) and X-only scan strategy (0, 60, 90 degree orientation w.r.t.
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High Energy Arcing Fault (HEAF) Experiments - Medium Voltage Electrical Enclosures - Video
Data provided by National Institute of Standards and Technology
This dataset includes high definition video, thermal imaging video, and still images captured from the video. The video was recorded during full-scale High Energy Arcing Fault experiments in medium voltage electrical enclosures.
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Computer Forensics Tool Testing (CFTT) Project Web Site
Data provided by National Institute of Standards and Technology
The Computer Forensics Tool Testing Program is a project in The Software and Systems Division supported by the Special Programs Office and the Department of Homeland Security. Through the Cyber Security Division Cyber Forensics project, the Department of Homeland Security's Science and Technology partners with the NIST CFTT project to provide forensic tool testing reports to the public.
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Source: https://www.nist.gov/itl/ssd/software-quality-group/computer-forensics-tool-testing-program-cftt
Dataset for optical coherence tomography for label-free cell viability measurements in 3D tissue engineering scaffolds
Data provided by National Institute of Standards and Technology
In the field of tissue engineering, 3D scaffolds and cells are often combined to yield constructs that are used as therapeutics to repair or restore tissue function in patients. Viable cells are often required to achieve the intended mechanism of action for the therapy, where the live cells may build new tissue or may release factors that induce tissue regeneration. Thus, there is a need to reliably measure cell viability in 3D scaffolds as a quality attribute of a tissue-engineered medical product.
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Entropy Source Validation Client
Data provided by National Institute of Standards and Technology
This tool is a Python client that can interact with the NIST Entropy Source Validation Test System.
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Source: https://github.com/usnistgov/ESV-Server
Dataset for paper Y. Ma, S. Mosleh and J. Coder, "Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 272-275, doi: 10.1109/CCNC49033.2022.9700690
Data provided by National Institute of Standards and Technology
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs).
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Dataset for paper Y. Ma, S. Mosleh and J. Coder, "Analyzing 5G NR-U and WiGig Coexistence with Multiple-Beam Directional LBT," 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), 2022, pp. 272-275, doi: 10.1109/CCNC49033.2022.9700690
Data provided by National Institute of Standards and Technology
This project produces synthetic datasets of spectrum sharing simulation results (I/Q data, metadata, and KPIs).
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Quantum State Inference Via Permutations In Hidden Markov Models
Data provided by National Institute of Standards and Technology
This Python software package provides functionality for inference of the initial state of a Hidden Markov Model (HMM), when we have access to permutations of the underlying states. We provide both analytical calculations to compute the probability of correct inference, and functionality for Monte Carlo computations. Further details are provided in arxiv:xxxx.xxxxxx.
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