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Trojan Detection Software Challenge - nlp-sentiment-classification-apr2021-test
Data provided by National Institute of Standards and Technology
Round 6 Test Dataset
Modified:
Source: https://drive.google.com/drive/folders/1UJdc9BMqFup9EsjBh6FkZUo2Qnf1XO9j?usp=drive_link
Trojan Detection Software Challenge - nlp-sentiment-classification-apr2021-train part2
Data provided by National Institute of Standards and Technology
Round 6 Train Dataset part2
Modified:
Trojan Detection Software Challenge - nlp-sentiment-classification-apr2021-holdout
Data provided by National Institute of Standards and Technology
Round 6 Holdout Dataset
Modified:
Source: https://drive.google.com/drive/folders/114ilRpdmIf3-tsJwDyliK__pG2-1oBGW?usp=drive_link
Data from "Flaming Tests on Upholstered Chair Mock-Ups"
Data provided by National Institute of Standards and Technology
The effectiveness and the failure mechanism of fire barriers in residential upholstered furniture (RUF) were investigated by full-scale flaming tests on single upholstered chair mock-ups. Six fire barriers were tested. The fire barriers were screened for (1) the presence of elements that are typically used in fire retardants and, (2) the presence of targeted fire retardants.
Modified:
Data from "Full-Scale Experiments to Demonstrate Flammability Risk of Residential Upholstered Furniture and Mitigation Using Barrier Fabric"
Data provided by National Institute of Standards and Technology
This study looks at fire growth in a furnished compartment intended to mimic a living room where a couch, either with or without a barrier fabric, served as the primary fuel load. The experiments were designed to quantify the effect of barrier fabrics on the fire hazard (e.g., tenability conditions, heat release rate, time to flashover and smoke generation) of residential upholstered furniture (RUF) ignited by a flaming-ignition source and to validate the failure mechanisms of barrier fabrics previously observed in chair mock-up experiments.
Modified:
Combustion Calorimetry Tool - NIST Standard Reference Database 206
Data provided by National Institute of Standards and Technology
Combustion calorimetry is the main method for the determination of enthalpies of formation for organic compounds. Rigorous application of the method uses a 100-step procedure, sometimes called Washburn corrections, to convert the experimental results into standard thermodynamic quantities. Because every laboratory uses its own in-house software implementing this procedure, which is often not available for verification or testing, it is difficult to fully assess experimental results. Furthermore, these programs often use obsolete reference values of thermodynamic properties.
Modified:
Source: https://trc.nist.gov/cctool/
ThermoML/Data Archive
Data provided by National Institute of Standards and Technology
ThermoML is an XML-based IUPAC standard for the storage and exchange of experimental thermophysical and thermochemical property data. The ThermoML archive is a subset of Thermodynamics Research Center (TRC) data holdings corresponding to cooperation between NIST TRC and five journals: Journal of Chemical Engineering and Data (ISSN: 1520-5134), The Journal of Chemical Thermodynamics (ISSN: 1096-3626), Fluid Phase Equilibria (ISSN: 0378-3812), Thermochimica Acta (ISSN: 0040-6031), and International Journal of Thermophysics (ISSN: 1572-9567).
Modified:
Source: https://doi.org/10.18434/mds2-2422
Digitized boundary and scanning isotherms from "The Thermodynamics and Hysteresis of Adsorption" by A. J. Brown, PhD Dissertation, University of Bristol (UK), 1963
Data provided by National Institute of Standards and Technology
The dissertation "The Thermodynamics and Hysteresis of Adsorption" by A. J. Brown, contains unique measurements of adsorption/desorption isotherms of Xenon, Krypton, and Carbon Dioxide in Vycor Glass. A particular hallmark of this set of isotherms is an extensive set of scanning isotherms of Xenon at 151 K, examining numerous trajectories inside the adsorption-desorption hysteresis loop. The isotherms were provided in tabular form in appendices of the dissertation, allowing for conversion to digital files without loss of fidelity.
Modified:
Sample code and data for "Accurate localization microscopy by intrinsic aberration calibration"
Data provided by National Institute of Standards and Technology
Sample data and code for "Accurate localization microscopy by intrinsic aberration calibration", Craig R. Copeland, Craig D. McGray, B. Robert Ilic, Jon Geist, and Samuel M. Stavis, Nature Communications X, Y (2021). For use in MATLAB.
Modified:
Baseline Deep Learning Detectors for Radar Detection in the 3.5 GHz CBRS Band
Data provided by National Institute of Standards and Technology
This project aims to create a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both simulated and experimental test data. The proposed tools and techniques are developed in the context of dynamic spectrum use for the 3.5 GHz Citizens Broadband Radio Service (CBRS), but they can be utilized and expanded for standardization of machine learned spectrum awareness technologies and methods.
Modified:
