This dataset contains the numerical results presented on the NIST technical note 2149 entitled "UE-to-Network Relay Model B Discovery in ProSe-Enabled LTE Networks", which is available in https://doi.org/10.6028/NIST.TN.2149.

Data for mass concentration analysis and spectral analysis for the paper titled, "Comparison of primary laser spectroscopy and mass spectrometry methods for measuring mass concentration of gaseous elemental mercury"

Round1 Holdout DatasetThe data being generated and disseminated is the holdout data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.

NeXLCore.jl represents the basic physics related data and algorithms necessary to interpret and understand X-ray emission.

Values are computed for the dilute-gas diffusivity of water isotopologues in N2, O2, and their mixture at a composition representing air, for standard conditions of 101.325 kPa and water mole fraction approaching zero. Calculations employ state-of-the-art intermolecular potentials and classical trajectory calculations as described in the paper by R. Hellmann and A.H.

This is a file containing aggregation data for two proteins that were thermomechanically aggregated. The aggregated proteins were separated by asymmetric flow field flow fractionation and separated protein fractions were detected and quantified by UV spectrophotometry and multi-angle light scattering. The UV spectrophotometry was used to quantify the amount of residual monomer, which is reported herein. The multi-angle light scattering was fitted to a relevant model to calculate the molecular weight of the aggregated protein, also reported herein.

A library implementing basic matrix correction algorithms, iteration algorithms and other quantitative correction algorithms related to estimating the composition from X-ray intensity data. Includes implementations of various common matrix correction algorithms for bulk samples and provides a framework for additional algorithms to be added.

NeXLUncertainties.jl is a Julia package implementing algorithms for the propagation of uncertainties in multi-variate measurement models.

The MML Accolades Program has been created to recognize exemplary work by staff, associates, and external collaborators in areas of strategic interest and benefit to MML (The Material Measurement Laboratory, an organization within NIST). With peer nominations from MML employees and associates, Accolades focus on the impact of accomplishments and outcomes of the work of individuals or teams working in or with MML. The MML Accolades program started in 2015. This dataset includes a website with all the past winners since the program's inception.

An implementation in Julia of a library to make programmatically available the mass absorption and other data provided in the "X-Ray Form Factor, Attenuation, and Scattering Tables - NIST Standard Reference Database 66"