This is a set of scripts to deploy and control 5G network.It is primarily useful for running an emulated 5G network in Docker Compose environment.

Data associated with "Differential chirped-pulse dual-comb spectroscopy for complex line shape fitting the R(6) manifold of the 2ν3 band of methane" published in the Journal of Quantitative Spectroscopy & Radiative Transfer 340: 109454 (2025).

Development and validation of new analytical or data tools for seized drug analysis require demonstration of the approach's ability to accurately detect the components of complex, realistic drug mixtures. However, gaining access to these types of samples, or the data from these types of samples, can be difficult.

March 2025 Update. Here we provide hourly observations of atmospheric carbon dioxide (CO2), methane (CH4), and (for a few sites) carbon monoxide (CO) from tower-based sites in the NIST Northeast Corridor network. Each *.tgz (tar/gzip) archive contains data files for a given site location, named by its 3-letter code. To extract on a unix platform, use "tar -xvzf <filename>".

Development and validation of new analytical or data tools for seized drug analysis require demonstration of the approach's ability to accurately detect the components of complex, realistic drug mixtures. However, gaining access to these types of samples, or the data from these types of samples, can be difficult.

This collection of AI models consists of the trained yet unreleased models constructed for the TrojAI program. These models were not required for the published round they come from for some reason. Some were simply extras, others did not meet the release criteria for accuracy or trojan attack success rate, or other reasons. These models should not be considered high quality. They might be poorly trained and unfit for their stated purpose. Examine the metadata released with each model to determine whether you can leverage it.

This repository provides the raw data and analysis code used to demonstrate the implementation of a mathematical framework that uses internal standards to correct for compositionally in MGS datasets. Some of the data contained herein was previously published and is reanalyzed in the context of this new framework, while other datasets represent newly analyzed samples. Please refer to the associated publication for further discussion and a full exploration of the results.

This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology (NIST). The two datasets —one for process monitoring and the other for XCT inspection—covering four overhang parts, along with their descriptions were published in 2020. The published data have been well-received by the community, advancing the understanding of laser powder bed fusion additive manufacturing (AM).

Monthly zip files from November 2016 to December 2021, with each zip containing hourly .tif files with gridded CO2 fluxes at 0.02 degree resolution in an eastern North American domain from 33° to 47° north and 92° to 67° west. Annual zip files from November 2016 to December 2021, with each zip containing hourly .tif files with gridded CO2 fluxes at 0.01 degree resolution in an eastern North American domain from 38.4° to 39.6° north and 77.8° to 76.2° west.

This dataset is a set of life cycle assessment (LCA) models for select construction materials that have been developed by the Applied Economics Office of the Engineering Laboratory. An LCA model consists of two components: an inventory and a dataset(s). An inventory compiles and quantifies environmentally relevant flows: products, materials (including waste and emissions), or energy as defined in ISO 14040. Datasets contain environmentally relevant information of the process producing or treating the related flow.