Implementation of the Metaschema modeling language in Java, providing support for Java code, schema, and documentation generation based on one or more Metaschema model definitions.Code is developed in Java and shared via GitHub's USNISTGOV organization.

These images, videos, and tables show experimental data, where single lines of viscoelastic inks were extruded into moving viscoelastic support baths. Lines were printed at varying angles relative to the camera, such that videos and images captured the side of horizontal lines, cross-sections of horizontal lines, and the side of vertical lines. Metadata including pressure graphs, programmed speeds, toolpaths, and rheology data are also included.

The data are for a combination of static and dynamic scattering techniques that show there are measurable direct and indirect interactions between soft lipid vesicles in concentrated solutions.

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. This repository includes Python code for analyzing and managing images and videos of the printing process during extrusion of single filaments. The zip file contains the state of the code when the associated paper was submitted. The link to the GitHub page goes to version 1.0.0, which is the same as the code attached here. From there, you can also access the current state of the code.Associated with: L. Friedrich, R. Gunther, J.

Supplemental material to the article: "Capability of commercial trackers as compensators for the absolute refractive index of air," Precision Engineering 77, 46-64 (2022), https://doi.org/10.1016/j.precisioneng.2022.04.011. An archive file of research data which includes:* a Python script which implements the calibration procedure of Section 3, together with the respective input experimental data for helium and argon gases.

Indoor carbon dioxide (CO2) concentrations have been used for decades to evaluate indoor air quality (IAQ) and ventilation, and more recently in discussions of the risk of airborne infectious disease transmission. However, many applications of indoor CO2 measurement reflect a lack of understanding of the connection between indoor CO2 levels, ventilation and IAQ. In many cases, an indoor concentration of 1000 ppmv has been used as a metric of IAQ and ventilation without an understanding of its basis or significance.

This data set contains enthalpies of formation, entropies, heat capacities, and thermal enthalpies for about 400 compounds available in the NIST TRC SOURCE database. The enthalpies of formation are computed using the ab initio-based protocol reported in the references below. The other properties are calculated by statistical thermodynamics using the "rigid rotor - harmonic oscillator" approximation. The conformational contributions are found by the Gibbs energy averaging of the properties of the conformers.

Speed of sound and density measurements for difluoromethane. Speed of sound was measured in the liquid phase using a dual-path pulse-echo instrument at temperatures between 230 and 345 K, with pressures from 2.1 to 70 MPa. Vapor-phase density was measured using a dual-sinker densimeter instrument at temperatures from 240 to 340 K and pressures from 0.1 to 1.61 MPa.

Speed of sound data measured in the search for a Low-GWP Alternative Refrigerant Blends for HFC-134a. Speed of sound data are being used to improve current REFPROP mixture models for binary mixtures of R-134a, R-1234yf, and R-1234ze(E).

The experiment here was to demonstrate that we can reliably measure the Reference Waveforms designed in the IEEE P1765 proposed standard and calculate EVM along with the associated uncertainties. The measurements were performed using NIST's calibrated sampling oscilloscope and were traceable to the primary standards.We have uploaded the following two datasets. (1) Table 3 contains the EVM values (in %) for the Reference Waveforms 1--7 after performing the uncertainty analyses.