This repository contains all of the data published in the figures of the paper "On-Wafer Vector-Network-Analyzer Measurements at mK Temperatures." Manuscript DOI: 10.1109/JMW.2022.3232076Manuscript ID: JMW-2022-0108Manuscript Title: On-Wafer Vector-Network-Analyzer Measurements at mK TemperaturesPublished by: Institute of Electrical and Electronics Engineers (IEEE)

NIST carried out a comprehensive BLE RSI data collection campaign under various operational scenarios. In some scenarios, the transmitting and receiving BLE radios were in line-of-sight (LOS) or each other and in others they were in non-line-of-sight (NLOS). The distance between the radios were measured and recorded in each scenario. in NLOS scenarios, data was collected were walls made of different construction materials were blocking the direct path from the transmitter to the receiver.

The files include dynamic light scattering (DLS), small angle neutron scattering (SANS), and neutron spin echo spectroscopy (NSE) data that were analyzed in writing the manuscript. The SANS data were collected on the NGB30 SANS and NG3 vSANS instruments at the NIST Center for Neutron Research (NCNR) and have been reduced to absolute intensity using standard procedures. The NSE data were collected on the NGA NSE instrument at the NCNR and have been corrected for the instrument resolution and solvent signal.

This repository contains all submissions made to the Mosaic Standards challenge from the period of the challenge opening through December 31st, 2019. The Mosaic Standards Challenge asked the microbiome research community to participate in determining the level of variation due to wet-lab protocols by sequencing a set of samples and providing the resulting files. Each participant ordered one or more kits, where each kit contained five fecal samples and two predetermined DNA mixtures.

Round 11 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of image classification AIs trained on synthetic image data build from Cityscapes. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers. This dataset consists of 288 AI models using a small set of model architectures.

Although Rydberg atom-based electric field sensing provides key advantages over traditional antenna-based detection, it remains limited by the need for a local oscillator (LO) for low-field and phase resolved detection. In this work, we demonstrate the general applicability of closed-loop quantum interferometric schemes for Rydberg field sensing, which eliminate the need for an LO. We reveal that the quantum-interferometrically defined phase and frequency of our scheme provides an internal reference that enables LO-free full 360 degree-resolved phase sensitivity.

When run, the GFCM creates tabular and graphical data of the hourly operating status and market outcomes for the generators that make up the electric generating fleet.

This dataset represents absorption/transmission spectra of resonant probe light power through a Rydberg atom vapor, subject to a simultaneous dressing field and a 'low frequency' field. Data is taken as an oscilloscope average of 5 photodiode voltage traces, with frequency offsets given by a simultaneous reference cell (not included). Some data are given as 2-D arrays, with axes of laser detuning across a waterfall of field strength. Some data represents theory eigen-energies of the system, for comparison. This paper will be submitted to Physical Review Letters.

This dataset contains CSV files for the figures in the paper titled "On-grid compressive sampling for spherical field measurements in acoustics" in The Journal of the Acoustical Society of America. In this paper, we derive a compressive sampling method for spherical harmonic/spherical wavefunction or Wigner D-function series with sparse coefficients. Applications of these sparse expansions include spherical field measurements in acoustics and spherical near-field antenna measurements, to name a couple.

Recent advances in methodology have made phosphopeptide analysis a tractable problem for many proteomicists. There are now a wide variety of robust and inexpensive enrichment strategies to generate phosphoproteomes, while free or inexpensive software tools for quantitation and site localization have simplified phosphoproteome analysis workflow tremendously.