Numerical data for figures in the article, "Radio-Frequency Toroid Susceptometry of Magnetic Nanoparticles: What Goes Around Comes Around," by Ronald B. Goldfarb, National Institute of Standards and Technology.

This record includes data and information related to the publication Experimental Comparison of Guideline 36 and Legacy Controller Sequences of Operation using Commercial-off-the-shelf Control Software

The inventory covers specimens collected from the Alaska Marine Mammal Tissue Archival Program (AMMTAP) and the Marine Mammal Health and Stranding Response Program (MMHSRP) by contributors between 1987 and the most recent update. The following fields are included: Species, Common name, Collection Year, State, City/Island/Community, Date of Death, Field ID, Other ID, NIST Storage ID, Collection Type, Sex, Age Class, and Sample Type.

Community resilience is the ability to prepare, adapt, withstand, and recover from disruptions. There is a growing field of research that focuses on community-level resilience. Many have developed and studied methods for measuring resilience quantitatively and qualitatively. The Tracking Community Resilience (TraCR) database is a tool for developing and testing analytical methods for computing county-level indicators for community resilience. TraCR can be used by local communities, researchers, and decision makers at various levels to assess and measure longitudinal community resilience.

This dataset includes 3D scans of 148 bullets. These bullets were selected as the comparison sets (Csets) from the BulletBB study that had the highest error rates, selected for 3d scanning for future use in training and research. The bullets were scanned using Ballistic Identification System (BIS) EVOFINDER, and Quantum 3D Microscope (Q3M). Please review "BulletBB_3DScans_BulletOfInterest-Public_2025-08-25.xlsx" for detailed information on each firearm, ammunition, and measurement information.

The Crime Scene Investigation Process Map (Current Practice) is a comprehensive resource that offers a visual representation of the current methods and procedures used in crime scene investigations in the United States.

Rydberg atom based sensors allow for SI traceable measurements and show promise for applications in the field of communication and radar technologies. In this article, we investigate the bandwidth and sensitivity of a Rydberg atom-based sensor in a rubidium vapor cell using Rydberg electromagnetically induced transparency (EIT) spectroscopy. We employ a radio-frequency (RF) heterodyne measurement technique in combination with an optical homodyne setup to extend the achievable range between sensitivity and bandwidth in a Rydberg sensor.

These data are associated with the paper “Insights on carbon dioxide adsorption in flexible 1-D coordination polymer NiDBM-Bpy from in situ X-ray scattering and density functional theory” by the same authors [1]. The datasets comprise in part combined experimental ultra-small-angle X-ray scattering (USAXS), small-angle X-ray scattering (SAXS) and wide-angle X-ray scattering (WAXS) data for NiDBM-Bpy measured under in situ gas pressure conditions.

Here we apply cavity ring-down spectroscopy to measure the intensity of a rotational-vibrational transition within the fundamental (1–0) vibrational band of carbon monoxide (CO). Laser measurements were made at a wavenumber near 2206 cm−1 on a sample of CO-in-air with an amount fraction of χCO = 77.6 nmol mol−1. High-precision cavity ring-down spectra were acquired using hybrid amorphous-crystalline mirrors to form the optical resonator and by application of simple and robust laser scanning and control techniques.

We investigate a technique for detecting radio-frequency (RF) electric fields in a Cesium (Cs) vapor cell at room temperature by collecting charge from ionized Rydberg atoms and compare its performance with the established method of electromagnetically induced transparency (EIT). By applying a known RF field, we measure the response from both the electrical (ionization current-based) and optical (EIT-based) readouts. The ionization current-based method yields a sensitivity of 22.4~$\mu$Vm$^{-1}$Hz$^{-1/2}$, while the EIT-based method achieves 3.7~$\mu$Vm$^{-1}$Hz$^{-1/2}$.