This is the corresponding analysis script for the preprint paper, Forensic facial examiners vs. super-recognizers: Evaluating behavior beyond accuracy available from https://doi.org/10.1002/acp.4003.

Round 11 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of image classification AIs trained on synthetic image data build from Cityscapes. 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. This dataset consists of 288 AI models using a small set of model architectures.

This repository contains all of the data published in the figures of the paper "On-Wafer Vector-Network-Analyzer Measurements at mK Temperatures." Manuscript DOI: 10.1109/JMW.2022.3232076Manuscript ID: JMW-2022-0108Manuscript Title: On-Wafer Vector-Network-Analyzer Measurements at mK TemperaturesPublished by: Institute of Electrical and Electronics Engineers (IEEE)

NIST carried out a comprehensive BLE RSI data collection campaign under various operational scenarios. In some scenarios, the transmitting and receiving BLE radios were in line-of-sight (LOS) or each other and in others they were in non-line-of-sight (NLOS). The distance between the radios were measured and recorded in each scenario. in NLOS scenarios, data was collected were walls made of different construction materials were blocking the direct path from the transmitter to the receiver.

A SQLite database containing mass absorption coefficient (both discrete and continuous), atomic sub-shell binding energy, X-ray energy, jump ratio, ground-state occupancy, atomic relaxation rate following core shell ionization and X-ray linewidth data.The data is in the common SQLite format and also available in SQL format. SQLite is an open-source database which is supported on many different platforms.This database represents a compilation of data from other sources.   Each datum is labeled with a literature reference which represents the source.

Electromagnetic simulations of Parylene C devices, described in "The influence of intrinsic water and ion permeation of the dielectric properties of Parylene C films". We simulated various geometries of the device with different fluids inside and calculated S-parameters from extracted RLCG results. We also provide scripts to work up the simulation results into S-parameter plots.

This 5G NR Sidelink Link-Level Simulator (LLS) is developed by National Institute Standards and Technology (NIST) developers by leveraging the MATLAB-based Vienna 5G NR Link Level Simulator. It requires the Vienna 5G NR LLS Release 1.2, licensed by Institute of Telecommunications TU-Wien and available at https://www.tuwien.at/etit/tc/en/vienna-simulators/vienna-5g-simulators/. It also requires MATLAB version 2021b with the following toolboxes: communication toolbox, 5G tool-box, and signal blocks.

Data from figure 4 "Measuring photonic optomechanical devices" in manuscript "Integrated photonic optomechanical atomic force microscopy probes batch fabricated using deep UV photolithography," in Journal of Microelectromechanical Systems, doi: 10.1109/JMEMS.2023.3247300.

Demonstrations and utilities using XSLT in the web browser. XSLT 1.0 is supported with no dependencies on external libraries. Source code is in XML, XSLT, Javascript and Typescript.

The Usability Team of the National Institute of Standards and Technology's (NIST) Public Safety Communications Research (PSCR) program works to identify issues faced by first responders surrounding the use of their existing and emerging public safety communication technology. The team conducted an exploratory, sequential, mixed-methods study to gather insights into first responders' needs for and problems experienced with communication technology.