The COVID-19 CDCS represents a metadata repository that provides a catalog of COVID-19 related research literature and data.

This data table contains the processed data for the LacI genotype-phenotype landscape, a quantitative measurement of the phenotype for approximately 60,000 variants of the E. coli LacI protein. The table includes, for example, the DNA barcode sequencing counts and the estimated fitness for each variant across 24 different chemical environments. It also includes the estimated dose-response curves for each variant under induction with IPTG.

This dataset includes a Microsoft Excel spreadsheet (*.xlsx file) provided as supplemental material for the NIST Technical Note (TN-2099) publication titled "Quasi-Static Position Calibration of the Galvanometer Scanner on the Additive Manufacturing Metrology Testbed". The file contains two tabs, titled "Pre-Compensation" and "Post-Compensation", which provides example measurement data and calculations pertaining to the calibration procedures described in the publication.

Partial lifetimes of chemical compounds in the atmosphere calculated by GSFC2D model (years).

This dataset illustrates the fluid dynamics of human coughing and breathing by using schlieren imaging. This dataset was used to help inform the general public about the importance of face coverings during the COVID-19 global pandemic.

Millimeter-wave channel sounders are much more sensitive to phase drift than their microwave counterparts by virtue of shorter wavelength. This matters when coherently combining untethered channel measurements ? scanned over multiple antennas either electronically or mechanically in seconds, minutes, or even hours ? to obtain directional information. To eliminate phase drift, a synchronization cable between the transmitter and receiver is required, limiting deployment range and flexibility indoors, and precluding most outdoor and mobile scenarios.

This tool calculates metrics for investment analysis documented in NIST Advanced manufacturing Series 200-5. It calculates net present value, internal rate of return, and payback period along with executing sensitivity analysis using Monte Carlo techniques. The tool helps to identify the most economical projects/investments. For instance, it could be used to identify the most economical heating and cooling system or it might be used to rank a set of potential investments.

THIS DATASET IS OBSOLETE. PLEASE REFERENCE THE NEWER MAPPING IN OLIR (https://doi.org/10.18434/mds2-3215).

The spreadsheets in this data set map National Institute of Standards and Technology (NIST) Cybersecurity Framework Subcategory outcomes to requirements of the North American Electric Reliability Corporation (NERC) Critical Infrastructure Protection (CIP) Standards.

The macOS security compliance project is an open source effort to provide a programmatic approach to generating security guidance. This project can be used to create customized security baselines of technical security controls by leveraging a library of atomic actions which are mapped to compliance requirements in existing security guides or used to develop customized guidance.

The web-based tool Fate and Transport of Indoor Microbiological Aerosols (FaTIMA) allows the determination of the fate of indoor microbiological aerosols associated with ventilation, filtration, deposition, and inactivation mechanisms. FaTIMA provides a representation of a single, well-mixed zone that is served by a mechanical ventilation system and incorporates source and removal mechanisms for an aerosol with a single, user-defined representative particle size.