TrojAI cyber-network-c2-mar2024 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of ResNet18 and ResNet34 neural network models that classify botnet command and control (c2) and benign network traffic packets trained on the USTC-TFC2016 dataset. 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 which trained AI models have been poisoned via embedded triggers.

This dataset is for the publication entitled "LABORATORY-BASED REFERENCE CHANNELS FOR MILLIMETER-WAVE WIRELESS DEVICE MEASUREMENTS." The dataset includes results from experiments in a simulated industrial wireless channel operated at 28 GHz. Results include synthetic-aperture beamforming data, and error-vector-magnitude information calculated from synthetic-aperture and directional-antenna measurements.

This dataset contains the code to run the reference case in Walsh et al "Pulse interaction induced systematic errors in dual comb spectroscopy". The code simulates dual combs interferograms at the field level using a generalized non-linear Schrödinger equation to account for non linear propagation is a fiber.

Data-driven Simulations For Training AI-Based Segmentation of Neutron Images

This data comprises the wind-field model for Hurricane Maria in Puerto Rico, which occurred in 2017. Wind speeds are reported as equivalent three-second peak gust wind speeds at 10 m height over open terrain (ASCE 7 Exposure C). Estimated peak gust speeds and associated wind directions are reported for two conditions: 1) assuming flat terrain, and 2) including topographic effects.

These data will appear in [1]. The abstract for that paper is given below:We report on the design, fabrication, and measurement of a Very High Frequency band Josephson Arbitrary Waveform Synthesizer (VHF-JAWS) at frequencies from 1~kHz to 50.05~MHz. The VHF-JAWS chip is composed of a series array of 12,810 Josephson junctions (JJs) embedded in a superconducting coplanar waveguide. Each JJ responds to a pattern of current pulses by creating a corresponding pattern of voltage pulses, each with a time-integrated area related to fundamental constants as $ extit{ extbf{h/2e}}$.

A computer program for accessing and visualization of thermodynamic and transport property data for chemical compounds and mixtures available at the TRC/NIST ThermoML archive https://data.nist.gov/od/id/mds2-2422. The data collection contains 2.2 million distinct property values (the whole archive can also be downloaded from that link, stored, and accessed from a local storage). The program has been compiled for Windows OS and tested under Windows 10. The operation procedures are described in the embedded Help.

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.

Supplementary data for the article "Optical n(p, T_{90}) measurement suite 2: H_2O and D_2O" in International Journal of Thermophysics, by P.F Egan and Y. Yang.The supplementary material is an archive file of research data containing the n(p, T_{90}) datasets for ordinary water H_2O and heavy water D_2O measured at 633 nm wavelength. The data files also include uncorrected refractivity (raw data with the epsilon_phi error present). An included script operates on the uncorrected data and implements the analysis of App.

Concentrations of plastic additive chemicals were taken from peer-reviewed literature. Only studies that mentioned the chemicals as plastic additives were included. Studies that measured plastic additives in marine plastic debris, marine organisms, marine sediments and/or seawater were included.