Hyperpolarized low-Field MRI data of cellphone-band microwave radiation in tissue mimics with associated electromagnetic and simulation data

Lithium ion battery (LIB) fires are a growing problem that extends across the supply chain, including mining, production, warehousing, shipping, and waste disposal, as well as the consumer side. But data on such fires is fragmented and mostly incomplete. Many are secondary data sources, and for the National Fire Incident Reporting System (NFIRS) and the Consumer Product Safety Commission data sets identification of LIB fires is difficult.

A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to observe and evaluate a machining process in which a rotary bit (the "tool") removed layers of a workpiece until the tool was worn to exhaustion. One trial and 19 official experiments were completed, one for each of 20 tools.

Scripts and associated data are described here to recreate Figure 5, Figure 6, and Figure S1 in the Data Descriptor titled: A spectroscopic dataset for known provenance and post-consumer textiles. Data for Figure 5 were obtained from NIST's NIR-SORT dataset and plotted with the corresponding script. Data for Figure 6 were obtained from NIST's NIR-SORT dataset, processed with Open Specy online software, and plotted with the corresponding script. Data for Figure S1 were obtained outside the NIR-SORT dataset and supplied here.

DVC Challenge 2.0 compiles a diverse collection of volumetric images contributed by the global research community specifically for use with Digital Volume Correlation (DVC) codes. These datasets encompass different materials, loading conditions, and imaging modalities. It includes confocal/multiphoton microscopy, X-ray computed tomography (XCT), neutron tomography (NCT), and synthetically generated images. These datasets present various challenges, such as complex deformation fields, poor image quality, and anisotropic or sparse speckle patterns to challenge DVC codes.

Driven nonlinear oscillators constitute a universal paradigm for understanding synchronization, frequency pulling, and frequency comb formation in nonequilibrium systems. Here, we realize such an emergent nonlinear oscillator in strongly interacting cesium Rydberg vapor, where coherent optical excitation, dissipation, and long-range interactions give rise to a driven-dissipative time crystal phase with intrinsic oscillation frequencies. Applying a radio-frequency (RF) field allows controlled tuning of the intrinsic oscillation frequency.

This tandem mass spectral library comprises spectra for 91 plasticizers sourced from the Scientific Polymer Products Inc. Plasticizer Kit‡. Nineteen supplementary spectra are also included from the NIST Mass Spectral Library for a total of 96 spectra representing 91 unique plasticizers. Analysis was conducted using atmospheric pressure chemical ionization (APCI) on a Bruker timsTOF Pro mass spectrometer, utilizing a VIP-HESI-APCI electrospray source (Bruker, Billerica, Massachusetts).  The sample list is in the file SampleDetails.csv.

Open Latent Quality Metric, or "OpenLQM," analyzes friction ridge images and returns latent quality metrics. OpenLQM is an open-source C++ port of LQMetric, the original automated tool for measuring the image quality of latent fingerprints developed by Noblis for the Federal Bureau of Investigation (FBI). It was originally distributed as part of Universal Latent Workstation (ULW).

The NIST Mass Spectrometry Data Center has been performing the metabolite profiling of several standard reference materials (SRM) from biofluids, such as human blood and urine, using hyphenated mass spectrometry techniques. Our focus has been primarily on developing applications for the NIST Mass Spectral Libraries to facilitate their use and reach specific scientific communities. However, these datasets can be useful in bioinformatics, AI, clinical applications, and more. Here, we include the urine raw data and associated metadata.
Materials and Methods

Dataset for the APL paper "Superconducting Qubit Control Using Cryogenic Frequency Conversion".