A computer program for accessing and visualization of thermodynamic and transport property data for chemical compounds and mixtures available at the TRC/NIST ThermoML archive https://data.nist.gov/od/id/mds2-2422. The data collection contains 2.2 million distinct property values (the whole archive can also be downloaded from that link, stored, and accessed from a local storage). The program has been compiled for Windows OS and tested under Windows 10. The operation procedures are described in the embedded Help.

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R.

Supplementary data for the article "Optical n(p, T_{90}) measurement suite 2: H_2O and D_2O" in International Journal of Thermophysics, by P.F Egan and Y. Yang.The supplementary material is an archive file of research data containing the n(p, T_{90}) datasets for ordinary water H_2O and heavy water D_2O measured at 633 nm wavelength. The data files also include uncorrected refractivity (raw data with the epsilon_phi error present). An included script operates on the uncorrected data and implements the analysis of App.

Concentrations of plastic additive chemicals were taken from peer-reviewed literature. Only studies that mentioned the chemicals as plastic additives were included. Studies that measured plastic additives in marine plastic debris, marine organisms, marine sediments and/or seawater were included.

The dataset corresponds to the findings detailed in the paper titled "ProSAS: An O-RAN Approach to Spectrum Sharing between NR and LTE," to be included in the proceedings of the 2024 IEEE International Conference on Communications (ICC).

This repository contains the collected resources submitted to and created by the NIST Collaborative Research Cycle (CRC) Data and Metrics Archive. The NIST Collaborative Research Cycle (CRC) is an ongoing effort to benchmark, compare, and investigate deidentification technologies. The program asks the research community to deidentify a compact and interesting dataset called the NIST Diverse Communities Data Excerpts, demographic data from communities across the U.S. sourced from the American Community Survey.

This dataset consists of high signal-to-noise ratio (SNR) in-phase and quadrature (I/Q) radio frequency (RF) recordings of long-term evolution (LTE) uplink emissions from a commercial-off-the-shelf (COTS) handset in a fully conducted environment. A base station emulator was used to configure the handset to statically transmit over various LTE physical resource block configurations for 1.4 MHz, 3 MHz, 5 MHz, and 10 MHz uplink channels centered at 1770 MHz in LTE Band 66, which is a frequency-division duplex (FDD) band.

This dataset contains information from investigating the effects of micro-computed tomographic imaging irradiation on vinyl nitrile foam and code for a finite element user material to model these effects. More details are available in the README.txt and data_summary.txt files in the main directory.Data in the repository includes exposure and dosage calibration files (.csv, .dat, .mat, .in, .png. .jpg), imaging data from optical microscopy (.tif, .zvi) and scanning electron microscopy with energy-dispersive spectroscopy (SEM EDS) (.tif, .png, .docx).

The National Institute of Standards and Technology (NIST) maintains the United States' primary standards for traceable RF and mm-wave power measurements. In the 2.4 mm connector type, the specialized sensors that NIST currently uses as primary standards are not commercially available, which raises concerns about the long-term sustainability of NIST's measurement capabilities. These concerns motivated us to explore the option of using commercially available thermoelectric power sensors.

Delta-sigma algorithms are used to determine the desired sequence of quantum-based voltage pulses used by the Josephson Arbitrary Waveform Synthesizer (JAWS) to create calculable voltage waveforms. This data set contains a comparison (Fig 1. of the CPEM 2024 abstract) of a 1 kHz pulse pattern with rms amplitude of 2 mV without post-processing and with post-processing which modifies the problematic pulse pattern to remove incorrect pulses at the 0.75 ms pattern wrap point.