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".

We utilize Bayesian analysis of variance to estimate the effects of calibration and disconnect levels for repeated scattering-parameter measurements made with a vector network analyzer. Here, we describe the Bayesian estimation technique, including our random effects model, prior assumptions, Markov chain Monte Carlo simulations, and convergence diagnostics. Our data is structured hierarchically, such that measurements are nested within repeats, which are nested within disconnects, which are further nested within calibrations.

Data associated with the publication: "The fundamental linewidth limit of electromagnetically induced transparency in a thermal Rydberg ladder system"

Lipid nanoparticles (LNPs) were prepared as described (https://doi.org/10.1038/s42003-021-02441-2) using the lipids DLin-KC2-DMA, DSPC, cholesterol, and PEG-DMG2000 at mol ratios of 50:10:38.5:1.5. RNA was not included and LNPs were ejected into pH 4 and pH 7.4 buffer after microfluidic assembly. To prepare samples for imaging, 3 μL of LNP formulation was applied to holey carbon grids (Quantifoil, R3.5/1, 200 mesh copper).