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Speed of Sound Measurements of Binary Mixtures of 1,1,1,2-Tetrafluoroethane (R-134a), 2,3,3,3-Tetrafluoropropene (R-1234yf), and trans-1,3,3,3-Tetrafluoropropene (R-1234ze(E)) Refrigerants
Data provided by National Institute of Standards and Technology
Speed of sound data measured in the search for a Low-GWP Alternative Refrigerant Blends for HFC-134a. Speed of sound data are being used to improve current REFPROP mixture models for binary mixtures of R-134a, R-1234yf, and R-1234ze(E).
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QFlow 2.0: Quantum dot data for machine learning
Data provided by National Institute of Standards and Technology
Using a modified Thomas-Fermi approximation, we model a reference semiconductor system comprising a quasi-1D nanowire with a series of five depletion gates whose voltages determine the number of quantum dots (QDs), the charges on each of the QDs, as well as the conductance through the wire. The original dataset, QFlow lite, consists of 1 001 idealized simulated measurements with gate configurations sampling over different realizations of the same type of device.
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Reference Measurements of Error Vector Magnitude
Data provided by National Institute of Standards and Technology
The experiment here was to demonstrate that we can reliably measure the Reference Waveforms designed in the IEEE P1765 proposed standard and calculate EVM along with the associated uncertainties. The measurements were performed using NIST's calibrated sampling oscilloscope and were traceable to the primary standards.
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PION: Password-based IoT Onboarding Over Named Data Networking
Data provided by National Institute of Standards and Technology
This library implements a secure device onboarding protocol for Named Data Networking using SPAKE2 and NDNCERT. It contains three components corresponding to the roles defined in the protocol: device, authenticator, certificate authority.
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Automated Streams Analysis for Public Safety (ASAPS) Dataset (v0.75)
Data provided by National Institute of Standards and Technology
The ASAPS Dataset includes eight continuous hours of data from across a fictitious ASAPS City representative of a normal day in a small city. The dataset includes multiple data types - video, audio, text, sensor, social media. The video data was created from a series of staged events, and then synchronized and augmented with recorded audio, simulated data for sensor, text, and social media related to the variety of emergency events across the city. The dataset represents a geographic area of approximately 68 square blocks.
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Universal Cyber-Physical Systems Environment for Federation (UCEF)
Data provided by National Institute of Standards and Technology
Internet of Things (IoT) is comprised of interacting networks of physical, computational, and human components that coordinate to fulfill time-sensitive functions in their environment. The development of these systems spans all industrial sectors and demands collaborative effort between research and development teams from multiple institutions. Realizing the full potential of IoT requires interoperability between heterogeneous systems and development processes supported by robust platforms for experimentation and testing across domains.
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Source: https://github.com/usnistgov/ucef
Data set for Amontons-Coulomb-like slip dynamics in acousto-microfluidics
Data provided by National Institute of Standards and Technology
This data set contains the data/information used to plot the graphs published in the 2022 Nat. Comm. article (titled "Amontons-Coulomb-like slip dynamics in acousto-microfluidics") of authors A. Quelennec, J.J. Gorman and D.R. Reyes.
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Data for "Restricted Domain Compressive Sensing for Antenna Metrology" to be submitted to IEEE Transactions on Signal Processing.
Data provided by National Institute of Standards and Technology
This dataset contains CSV files for the figures in the paper titled "Restricted Domain Compressive Sensing for Antenna Metrology".
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Trojan Detection Software Challenge - nlp-summary-jan2022-test
Data provided by National Institute of Standards and Technology
Round 9 Test Dataset
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Source: https://drive.google.com/drive/folders/1voAHxVT1wfAKfhlqBkIXERjWFHmgs6gy?usp=drive_link
Trojan Detection Software Challenge - nlp-summary-jan2022-holdout
Data provided by National Institute of Standards and Technology
Round 9 Holdout Dataset
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Source: https://drive.google.com/drive/folders/1Pkh41erON1xFNlHQBu1wWtlhP3rt6FqI?usp=drive_link