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.

This dataset contains templates to assist with the implementation and validation of rapid gas chromatography-mass spectrometry (GC-MS) technology for the analyses of seized drugs (probe tip injection) and ignitable liquids (liquid and solid phase microextraction (SPME) injection). The validation package includes plans and workbooks for each application, both of which can be modified to fit the methods and approaches currently utilized in the laboratory. A standard operating procedure (SOP) for the rapid GC-MS system is also included in the validation package.

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.

Data tables for the 2024 edition of energy price indices and discount factors for performing life-cycle cost analyses of energy and water conservation and renewable energy projects in federal facilities. These data tables are associated with the 2024 release of the Annual Supplement to NIST Handbook 135 (HB 135, Life-Cycle Costing Manual for the Federal Energy Management Program).

This dataset contains the DOIs of the corpus, used for the natural language processing analysis described in the article of the same title. The DOIs all point to articles published in the Microscopy and Microanalysis conference proceeding, spanning 2002 through 2019.

Methane (CH4) mole fraction data collected from three tower sites in the Washington DC area: Bucktown, MD (BUC, ghg01), Stafford, VA (SFD, ghg65), and Thurmont, MD (TMD, ghg61), as part of NIST's Northeast Corridor Urban Testbed project, presented as 1-minute averages.

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 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 purpose of this mapping is to provide the relationship between NIST Cybersecurity Framework (CSF) v1.1 and the NERC Critical Infrastructure Protection (CIP) Standards.Target Audience:The intended audience are NERC registered entities of the Energy Sector Critical Infrastructure, electric segment, seeking to enhance the cyber security of the bulk electric system.This record supersedes https://doi.org/10.18434/mds2-2348

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.