Datasets for the four published figures in the Paper "AC Metrology Applications of the Josephson Effect ".

Dataset for publishable figures in a "On-Chip Frequency Conversion Using Kinetic Inductance Within a Coplanar Waveguide" manuscript to be submitted to IEEE Transactions on Applied Superconductivity. This work presents a method of frequency conversion which exploits the kinetic inductance of a superconducting coplanar waveguide. Both frequency doubling and tripling are examined, with attention paid to conversion efficiency. This approach allows up-conversion to be implemented in a cryogenic environment, which can simplify the design of cryogenic systems.

A heterogeneous dataset of human measurement data and human-generated text. This dataset was generated by TechSolve Inc. (techsolve.org) as a collaborative effort with NIST. Respondents were asked to observe and evaluate a machining process in which a rotary bit (the "tool") removed layers of a workpiece until the tool was worn to exhaustion. One trial and 19 official experiments were completed, one for each of 20 tools.

RM 8210 Electronic files containing certified values and their uncertainties, and the data used to assign those values.

Individual user responsibility: working data, derived data Data must be backed up using a tested/automated process: working data, derived data; published data resource data Not available to the public: working data; derived data Made available to the public as described below: Published data and Resource dataThe Authoring Tools for Multimedia Content (AToMiC) Track aims to build reliable benchmarks for multimedia search systems. The focus of this track is to develop and evaluate IR techniques for text-to-image and image-to-text search problems.

We present recent improvements within the growing field of Rydberg atom sensors. While initially started as a path towards absolute, independent measurements of electric fields, the research landscape has evolved into the realm of quantum sensors and receivers. We discuss the capabilities and limitations of Rydberg atom receivers, and we show how different atomic properties enhance or limit sensitivity and bandwidth.This data is for a review paper. Figures 6 (a) and 8 (a) and (b) are new data. The rest of the data is extracted from other NIST publications that have a data management plan.

The 2.4 GHz ISM band is shared by Wi-Fi, Bluetooth, Wireless HART, ISA100.11a, and several other industrial wireless systems. This band also includes microwave ovens which produce interference that disrupt communications within their vicinity, therefore, understanding and monitoring for interference from these types of radio emissions sources is crucial to ensure an optimal wireless user experience. Microwave ovens are common radio interference sources that disrupt the operation of the wireless networks in industrial environments.

TrojAI llm-pretrain-apr2024 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists Llama2 Large Language Models refined using fine-tuning and LoRA to perform next token prediction. A known percentage of these trained AI models have been poisoned with triggers which induces modified behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers into the model weights.

This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R.

In this paper we describe an enhanced three-antennagain extrapolation technique that allows one to determine antennagain with significantly fewer data points and at closerdistances than with the well-established traditional three-antennagain extrapolation technique that has been in use for overfive decades. As opposed to the traditional gain extrapolationtechnique, where high-order scattering is purposely ignored soas to isolate only the direct antenna-to-antenna coupling, we showthat by incorporating third-order scattering the enhanced gainextrapolation technique can be obtained.