The testing dataset used at TRECVID for the DSDI task in 2020-2022.
The dataset includes public videos, ground truth and features of the DSDI task. As the task is continuing, the dataset will be continually updated.
There are 32 features across 5 main categories (Environment, Vehicles, Water, Infrastructure, Damage). All videos are airborne low altitude from natural disaster events.

The data files provide the literature experimental data used to plot the figures, develop and/or verify the models in the following article:
A. Bazyleva, W. E. Acree Jr., V. Diky, G. T. Hefter, J. Jacquemin, M. C. F. Magalhães, J. W. Magee, D. K. Nordstrom, J. P. O'Connell, J. D. Olson, I. Polishuk, K. A. G. Schmidt, J. M. Shaw, J. P. M. Trusler, R. D. Weir. Reference Materials for Phase Equilibrium Studies. 2. Solid-Liquid Equilibria (IUPAC Technical Report). Pure Appl. Chem., 2022, accepted for publication.

This dataset includes three dimensional schematics (in the form of Revit files, .RVT) for architectural updates and plumbing system designs for seven reference buildings, which were drawn from NIST's suite of homes (collection of dwellings developed to represent 80 % of the U.S. housing stock at the time of their development) for residential reference buildings and the Department of Energy's Prototype Building Models for commercial reference buildings.

This dataset provides RF data from software defined ratio (SDR) measurement results of a few cases:  
A. one 4G LTE link, B. two LTE links, C. one LTE link and one Wi-Fi link. The LTE links were emulated
by USRP B210 units and an open-source software (srsRAN), and the Wi-Fi link was emulated by a pair of
Wi-Fi commercial development boards.  This dataset includes metadata and performance results (in
a spreadsheet format) and  I/Q baseband sample data (in a binary float point format). Though specific

This repository contains scripts and supporting information for a set of demonstrations related to the 2022 AM-Bench challenge series.

In particular, the data used in this demonstration comes from the 2018 AM-Bench challenge documented at https://www.nist.gov/ambench/amb2018-02-description.

This tool computes the expected link capacity in data rate (Mbit/s) for Sidelink considering 5G New Radio (NR) and Long Term Evolution (LTE) communication standards, as defined by the The 3rd Generation Partnership Project (3GPP). Users can input the respective configuration parameters and evaluate the resulting capacity.

The tool provides side-by-side chart plotting between NR and LTE Sidelink capacities for easy comparison. Data and generated charts can be exported to be used outside the tool.

`analphipy` is a python package to calculate metrics for classical models for pair potentials. It provides a simple and extendable api for pair potentials creation. Several routines to calculate metrics are included in the package. The main features of `analphipy` are 1) Pre-defined spherically symmetric potentials. 2) Simple interface to extended to user defined pair potentials. 3) Routines to calculate Noro-Frenkel effective parameters. 4) Routines to calculate Jensen-Shannon divergence.

Parameters, input scripts, and molecular dynamics simulation results corresponding to the simulations performed for the paper "Entropy Scaling of Viscosity for Molecular Models of Molten Salts" by J.M. Young, I.H. Bell, and A.H. Harvey, J. Chem. Phys. 158, 024502 (2023).

The National Institute of Standards and Technology conducted a series of large compartment fire tests to investigate the behavior and fire-induced failure mechanisms of the full-scale composite floor assemblies with the two-story steel gravity frame, two bays by three bays in plan. This report presents the experimental design and results from the second fire experiment (Test #2) conducted at the National Fire Research Laboratory.

Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X-ray scattering and X-ray spectroscopy; this combination provides unique sensitivity to molecular orientation and chemical heterogeneity in soft materials such as polymers and biomaterials.