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).

This data repository is the basis for the figures in the manuscript "Measuring out-of-plane permittivity of thin films to millimeter wave frequencies" , F. Bergmann et al. (2025), accepted for publication in IEEE TMTT. The abstract is as follows:

Dataset for multiple publishable figures in the paper entitled "Leakage Current Pathways in Josephson Arbitrary Waveform Synthesizer Standards"

Deep subwavelength RF imaging with atomic Rydberg sensors has overcome fundamental limitations of traditional
antennas and enabled ultra-wideband detection of omni-directional time varying fields all in a compact
form factor. However, in most applications, Rydberg sensors require the use of a secondary strong RF reference
field to serve as a phase reference. Here, we demonstrate a new type of Rydberg sensor for Angle-of-Arrival
(AoA) sensing which utilizes subwavelength imaging of standing wave fields. By placing a metallic plate within

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.

The NIST BGP RPKI IO framework (BRIO) is a test tool only subset of the BGP-SRx Framework. It is an open source implementation and test platform that allows the synthetic generation of test data for emerging BGP security extensions such as RPKI Origin Validation and BGPSec Path Validation and ASPA validation. BRIO is designed in such that it allows the creation of stand alone testbeds, loaded with freely configurable scenarios to study secure BGP implementations. As a result, much functionality is provided.

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

This dataset contains the fluid file for use with the NIST REFPROP (SRD Database 23) computer program. The fluid file is based on the new wide-ranging correlation for the viscosity of nitrogen, valid from the triple point to 1000 K and pressures up to 2200 MPa, as described in the publication linked below.

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: