This data was used in the TREC 2015 and 2016 total recall track. The goal of the total recall track was to help develop retrieval systems tuned to retrieving ALL relevant information, as opposed to common web search engines where one good answer could be sufficient.

Lunar regolith simulants are manufactured in order to provide a higher volume, much less expensive and more available source of material, compared to real lunar regolith material, upon which to test various instruments and machines that are being designed to operate on the lunar surface. There are many sources of these materials. However, the three-dimensional (3D) shape of these materials has never been characterized and used to compare to each other and to real lunar regolith material brought back from the Apollo missions.

Numerical values of all data points shown in figures for manuscript "Trap-integrated superconducting nanowire single-photon detectors for trapped-ion qubit state readout", Proc. SPIE 13025, Advanced Photon Counting Techniques XVIII, 1302506 (7 June 2024); https://doi.org/10.1117/12.3014455

This archive contains the bidirectional reflectance distribution function (BRDF) data of real-world samples associated with the paper Aaron M. Goldfain, Grace E. Waters, Lynn Davis, Heather J. Patrick, and Thomas A. Germer, "Validated UV-C bidirectional reflectance distribution function measurements with a spectrophotometer directional reflectance module," Applied Optics 63, 7715-7725 (2024). https://doi.org/10.1364/AO.527427 .

As a National Metrology Institute (NMI), the National Institute of Standards and Technology (NIST) maintains traceable measurement capabilities for a variety of quantities, including microwave power. At NMIs and calibration laboratories, traceable microwave power measurements often rely on the principle of dc substitution. This approach involves a power meter that provides dc power to a sensor under test. DC substitution power meters are typically implemented by analog electronics, making them difficult to maintain.

This dataset includes the python scripts and output results for fitting SAFT models to the phase equilibrium density, pressure, and speed of sound for refrigerants. A conda environment file is included specifying the dependencies, and the driver script does all the fitting. The process is carried out in parallel through the use of process-level parallelism. The output files are in the JSON format, in a hierarchical folder data structure. Summary files are generated in the csv format. A README file is included within the zip file.

NICE Framework components comprises Work Role Categories, Work Roles, Competency Areas, and Task, Knowledge, and Skill (TKS) statements as well as the relationships between those elements. The JSON file for the NICE Framework is a machine-readable format that can be used to transmit structured data from system to system.

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, pairs of filaments, and triplets of filaments. The link to the GitHub release goes to the state of the code when the paper was submitted. From there, you can also access the current state of the code.

This dataset contains the DOIs of the corpus, used for the natural language processing analysis described in the article of the same title. The DOIs all point to articles published in the Microscopy and Microanalysis conference proceeding, spanning 2002 through 2019.

Methane (CH4) mole fraction data collected from three tower sites in the Washington DC area: Bucktown, MD (BUC, ghg01), Stafford, VA (SFD, ghg65), and Thurmont, MD (TMD, ghg61), as part of NIST's Northeast Corridor Urban Testbed project, presented as 1-minute averages. This data is published for research academic and related non-commercial purposes consistent with NIST?s mandate to further the science and the promulgation of appropriate standards.