We present a characterization of the sensitivity of broadband field measurements in VHF and UHF bands using AC stark shifting of the Rydberg states. The dependence of the sensitivity and dynamic range of the field measurements using the $nD_{5/2}$ state of Cesium for principal quantum numbers n= 60,70,80 and 90 is presented detailing the intricacies involved. The frequencies considered for the measurement range from $50 \text{MHz}$ to $900 \text{MHz}$ for which a transverse electromagnetic (TEM) cell is used to excite the Rydberg atoms with the RF fields.

This dataset contains files from the analyses of almond and hazelnut flours, including Reference Materials 8404 and 8405, by LC-MS/MS and ELISA. Files collected by LC-MS/MS are provided in the native ".raw" format collected using a Thermo Fisher Scientific Orbitrap Elite mass spectrometer (almond.zip and hazelnut.zip). The “.raw” files can be opened using proprietary software (Thermo Fisher Scientific). Information about the naming of the LC-MS/MS data files can be found in Excel spreadsheets (Almond_flour_LCMS_file_details.xlsx and Hazelnut_flour_LCMS_file_details.xlsx).

This repository contains data from multiple modalities used to study the effect of reaction conditions on the cure of a thermosetting epoxy. The material is a model thermoset system (TM01) of bisphenol F diglycidyl ether (DGEBF) epoxy resin and diethyl toluene diamine (DETDA) curing agent mixed in a stoichiometric ratio.

Data sources:

- CP_data_CKM: Conversion Prediction (CP) data from the Cure Kinetics Modeling (CKM) of the reaction process, consisting of the exported data from the model results.

The mechanical performance of fibrous composites relies on the component properties, including the fibers. In many composites, fibers constitute the primary load-bearing component, which has led to a significant scientific interest in the investigation and characterization of high-performance fiber properties.

Reference functional model for the activities and processes involved in recovering traction lithium batteries at the end of their use/life. The model includes inputs and outputs of each activity, as well as factors that constrain and enable the activities (controls and mechanisms), using the IDEF0 methodology. It provides a unified point of reference that enables stakeholders to identify new opportunities, inform strategic decision-making, and drive innovation within the emerging battery recovery industry.

The NIST Office of Weights and Measures (OWM) hosts a series of Information Hours, or "Info Hours," that feature insights on topics relevant to legal metrology and documentary standards through an informal technical discussion and Question and Answer forum. In this recording, NIST OWM's Diane Lee and International Guest Researcher Ombati Nyang'au present the results of a NIST OWM study on the use of portable digital density meters (PDDMs) as field inspection devices.

The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata, Population Estimates Program data, and Decennial Census data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.

The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata, Population Estimates Program data, and Decennial Census data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.

The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata, Population Estimates Program data, and Decennial Census data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.

The Community Resilience Estimates track how socially vulnerable every neighborhood in the United States is to the impacts of a disaster. The Community Resilience Estimates use American Community Survey microdata, Population Estimates Program data, and Decennial Census data to measure the ability of individuals and households to absorb the external stresses of the impacts of a disaster.