This contains the raw time-series data for a study of liposome stability in aqueous fluid solution over the course of a year. The study was carried out using orthogonal nanoparticle tracking analysis (NTA) and asymmetric flow field flow fractionation (AF4) with multi-angle light scattering techniques to independently measure particle diameter and particle number concentration throughout the course of the study.

Data for the figures in the manuscript entitled "Time Programmable Frequency Comb: Generation and Application to Quantum-Limited Dual-Comb Ranging"

Data for "Primary measurement of gaseous elemental mercury concentration with a dynamic range of six decades" article for submission

The following data files include residual elastic strain, residual stress, and part deflection results associated with the 2022 Additive Manufacturing Benchmark test series (AM Bench 2022) AMB2022-01 benchmark on laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. The AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT).

This dataset includes the code needed to reproduce all the results from "Superancillary equations for PC-SAFT" by Ian Bell (NIST) and Ulrich Deiters (Cologne).It includes C++ code for the development of the formulation, and the scripts and other files needed to build the python package and build all the plots from the publicationSee the README.md file for more detailed information of the contents

NIST developed a reference material consisting of synthetic fragments of the SARS-CoV-2 virus RNA, which is the target of molecular diagnostic tests. These RNA fragments can assist in the development and validation of RT-qPCR assays for the detection SARS-CoV-2. The RNA fragments are characterized for concentration using digital PCR methods, may be used to assess limits of detection for SARS-CoV-2 assays, and may calibrate other in-house or commercial SARS-CoV-2 controls. This dataset includes data used for RTGM 10169 SARs-Cov-2 Research Grade Test Material validation.

The following data files include in-situ thermographic measurement results, scan strategy, and various additional data associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-01 series of modeling challenges described here: https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-chal….

The following data files include in-situ thermographic measurement results and various additional experiment design data associated with laser-scanned single tracks and multi-track pads on bare (no-powder) nickel superalloy In718 for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series.

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with bare plate single track and pad laser scans performed on the NIST Additive Manufacturing Metrology Testbed (https://www.nist.gov/el /ammt-temps).

This data publication contains the code and demonstration data from a study using non-negative matrix factorization to learn, characterize, and chemically map crystal polymorphs at the single particle scale from high spatial resolution time-of-flight secondary ion mass spectrometry (ToF-SIMS) images. The data from this study includes the ToF-SIMS chemical imaging of three inkjet printed arrays of acetaminophen deposits, corresponding THz Raman spectra, and ToF-SIMS chemical images of a pure acetaminophen powder and a migraine medicine.