Projected Population by Single Year of Age, Sex, Race, and Hispanic Origin for the United States: 2016 to 2060 // Source: U.S. Census Bureau, Population Division // There are four projection scenarios: 1. Main series, 2. High Immigration series, 3. Low Immigration series, and 4. Zero Immigration series. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race.

The NIST Alloy data web application (https://trc.nist.gov/metals_data) provides access to thermophysical property data with a focus on unary, binary, and ternary metal systems.

This data is provided as a supplement to NASCTN Report 7 (NIST Technical Note 2069), Characterizing LTE User Equipment Emissions: Factor Screening. In particular, the data provided here is sufficient to reproduce all of the plots and analyses in Chapters 6 and 7, which present the data analysis results. See the data description document provided in the zip file for an outline of the contents and the technical note referenced above for details on the data collection.

This dataset documents a series of time-averaged gas species measurements made along the centerline of methanol, ethanol, and acetone pool fires steadily burning in a quiescent environment. All gas species measurements are obtained using a Gas Chromatograph/ Mass Spectrometer System (GC/MS). Measurements were made at different heights along the centerline of the fire and repeated at least twice for each location. Gas species volume fractions were determined via the GC/MS using predetermined calibration factors.

The Public Sector Annual Surveys and Census of Governments identifies the scope and nature of the nation's state and local government sector; provides official counts of U.S. governments and authoritative benchmark figures of public finance and public employment.

Work by Purdue and NIST has shown that different system types behave differently when exposed to the same type of fault at the same intensity; therefore, a better understanding of fault effects on the performance of different systems is needed. The data referenced here contains measurements of the fault-free and fault performance of two different heat pumps; a 14 SEER heat pump and a 16 SEER air-conditioner.

This research work studied the effect of timing constraint and overloading of Spectrum Access System (SAS) on the SAS-CBSD protocol. Specifically, it studies how Heartbeat and Grant Request fail as number of CBSDs served by a SAS becomes large for a given service rate. It also looks at the time taken by CBSDs to vacate a channel (on which an incumbent has appeared) at different Heartbeat Interval. These study results are captured in the following files.

This is the source code package for the labbench python module, version 0.20, which is its first public release. The purpose of labbench is to streamline and organize complicated laboratory automation tasks that involve large-scale benchtop automation, concurrency, and/or data management. It is built around a system of wrappers that facilitate robust, concise exception handling, type checking, API conventions, and synchronized device connection through python context blocks.

Traditionally, soft body armor has been made from materials such as poly(p-phenylene terephthalamide) (PPTA) and ultra-high molar mass polyethylene (UHMMPE). However, to diversify the fiber choices in the United States body armor market, copolymer fibers based on the combination of 5-amino-2-(p-aminophenyl) benzimidazole (PBIA) and PPTA were introduced. Little is known regarding the long-term stability of PBIA fibers, but as condensation polymers, they have potential sensitivity to moisture and humidity.

The data used to generate the graphs in figures 1-9 of the paper "Evaluating Uncertainty of Microwave Calibrations from Regression Residuals".

The full citation is D. F. Williams, B. F. Jamroz, J. D. Rezac and R. D. Jones, "Evaluating Uncertainty of Microwave Calibration Models With Regression Residuals," in IEEE Transactions on Microwave Theory and Techniques, vol. 68, no. 6, pp. 2454-2467, June 2020, doi: 10.1109/TMTT.2020.2983358.