This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of instruction fine tuned LLMs. 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 that trigger behavior in the trained AI models.

This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of models trained to predict whether code from public git repositories would survive in its branch for one month or more as a quantifiable proxy for code quality. 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 that trigger behavior in the trained AI models.

These sets of automated serial sectioning electron backscatter diffraction (EBSD) and X-ray computed tomography (XRCT) measurements were designed to produce spatially registered, multi-modal datasets within a region of interest (ROI) of an additive manufacturing benchmark test series (AM Bench) nickel alloy 718 specimen produced using laser powder bed fusion (PBF-LB) additive manufacturing (AM). The serial sectioning data are in the form of 2D slices which were reconstructed and registered to make 3D data sets that can be analyzed and visualized using open source software.

This repository includes Alloy Analyzer code from the development of NIST Interagency Report (NISTIR) 8388-upd1. The report presents an approach to verifying executability of system behavior models by treating them as logical constraint problems solved using Alloy Analyzer, a non-proprietary software tool supporting a textual language for logical constraints and underlying solvers.

These installation scripts automate the deployment and configuration of a 5G Open Radio Access Network (O-RAN) testbed on both bare metal and virtualized environments. The tool simplifies setting up the 5G testbed components, including the 5G Core; gNodeB composed of Radio Unit (RU), Distributed Unit (DU), and Centralized Unit (CU); User Equipment (UE); and RAN Intelligent Controller (RIC), thereby reducing the complexity and time required to operationalize the testbeds described in our blueprint.

The dataset corresponds to the findings detailed in the paper titled "AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN" to be included in the proceedings of the 2025 IEEE Consumer Communications & Networking Conference (CCNC).

Dataset for multiple publishable figures in the paper entitled "Leakage Current Pathways in Josephson Arbitrary Waveform Synthesizer Standards"to be submitted to CPEM 2024 Extended Paper (IEEE Transactions on Instrumentation and Measurement). The voltage errors associated with leakage currents in Josephson arbitrary waveform synthesizer (JAWS) systems are significant contributors to the overall system accuracy.

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.

Dataset for the " Simulation Study of mmWave 5G-enabled Medical Extended Reality (MXR)" article's figure

This TRNSYS building energy simulation model is developed for a Net-Zero Energy Building (NZEB) located on the National Institute of Standards and Technology (NIST) campus in Gaithersburg, Maryland, USA. The model integrates a two-capacity ground-source heat pump (GSHP), a heat pump water heater (HPWH), an energy recovery ventilator (ERV), a whole-house dehumidifier, and a photovoltaic (PV) array to simulate building performance. Key outputs include energy consumption, thermal loads, occupant comfort, and more.The model has been utilized in the following journal paper:Jang, D.S.