The Annual Integrated Economic Survey (AIES) consolidates seven existing annual business surveys into one, replacing the Annual Capital Expenditures Survey, Annual Retail Trade Survey, Annual Survey of Manufacturers, Annual Wholesale Trade Survey, Manufacturer's Unfilled Orders Survey, Report of Organization, and Services Annual Survey. The AIES Historical Statistics dataset will provide historical content from the legacy surveys mixed with new data moving forward, using the North American Industry Classification System (NAICS).

The NIST DART-MS Forensics Database is an evaluated collection of in-source collisionally-induced dissociation (is-CID) mass spectra of compounds of interest to the forensics community (e.g. seized drugs, cutting agents, etc.). The is-CID mass spectra were collected using Direct Analysis in Real-Time (DART) Mass Spectrometry (MS), either by NIST scientists or by contributing agencies noted per compound. The database is provided as a general-purpose structure data file (.SDF).

Data and input files for "X-ray Absorption and Resonant X-ray Emission at the Carbon Edge of Li_2CO_3".

Contents:
1. Inputs and outputs for calculations of ground-state DFT & GW are in the the ABI directory
2. Inputs and outputs for the MD simulations are in the MD directory
3. Inputs and outputs for the X-ray calculations are in the Xray directory
4. Experimental data are in the Expt directory

Plotting scripts for producing the figures are also included

Data and analysis supporting the article "Two-color measurements supporting a revised formulation for the refractive index of air," by PF Egan in Measurement Science and Technology (2026).

The measured data are in the files "data-GASNAME-2color.csv" where GASNAME is

* carbon dioxide

* oxygen

* bMixN787

* bMixN200

* dry air with a CO2 mole fraction of 388.86 ppm

* water

We investigate the role of magnetic sublevels in Autler–Townes spectra of Rydberg atoms driven by radio-frequency (RF) fields with arbitrary polarization. While conventional treatments predict two symmetric sidebands from independent $m_J$ transitions, experiments have reported additional unexplained spectral features. We show that these arise from elliptical RF polarization, which coherently couples multiple magnetic sublevels and requires a full multi-level treatment.

This dataset contains the LQMetric and OpenLQM quality component values for the latent impression distal phalanx images of NIST Special Database (SD) 302h. OpenLQM is an open-source reimplementation of LQMetric, designed to keep computed values between the two software applications as identical as possible. All images of SD 302h were run through both the version of LQMetric included with Universal Latent Workstation v6.6.7 and OpenLQM v1.0.0 on a machine running Windows 11. The complete output for each software is available separately.

This dataset contains Brillouin light scattering (BLS) measurements collected using a custom-built switchable microscope and spectrometer platform. The microscope has two configurations: 1) a backscattered mode for high resolution longitudinal BLS measurements, and 2) an off-axis mode for longitudinal and shear measurements. The microscope can be used for comprehensive modulus imaging, including longitudinal modulus, Young's modulus, shear modulus, bulk modulus, and Poisson's ratio.

This dataset consists of experimental data from testing high strength fibers under four quasi-static rates (QS) on a single fiber test machine and under high-strain rate (HSR) on a single fiber Kolsky bar. Two poly-paraphenylene terephthalamide (PPTA) aramid fiber types were tested in the pristine condition. The data is first organized by material type in the main folder. Within the material type folder, they are organized by crosshead speed (for QS) or by the designation HSR (for Kolsky bar tests).

The Voice of Customer program shares customer feedback from various surveys, including the trade.gov digitial intercept and Global Markets' fee and non-fee services surveys for actionable insights and improvement efforts.

An agentic AI measurement tool for deep research over local corpora of PDF and Markdown documents. Given a research question, it orchestrates a programmatic AI pipeline to exhaustively evaluate, synthesize, and verify information from your documents, producing a Markdown report with inline footnote citations -- then automatically measures the quality of every citation using LM-judge measurement probes.