This repository provides the raw data, analysis code, and results generated during a systematic evaluation of the impact of selected experimental protocol choices on the metagenomic sequencing analysis of microbiome samples. Briefly, a full factorial experimental design was implemented varying biological sample (n=5), operator (n=2), lot (n=2), extraction kit (n=2), 16S variable region (n=2), and reference database (n=3), and the main effects were calculated and compared between parameters (bias effects) and samples (real biological differences).

This dataset contains raw mechanical data (strain, stress and strain rate curves
and initial temperatures) for compression experiments performed on aluminum alloy 6061-T6
using the NIST pulse-heated Kolsky Bar at strain rates between 2400 1/s and 2700 1/s and initial
temperatures from 23 °C to 527 °C and heating times ranging between 0.2 s and 3.5 s. At this time,
the thermal history of the specimen during heating is not included in the dataset but this information

Data for "Nanosecond time-resolved dual-comb absorption spectroscopy." Each file contains the data behind the figure in its title.

Data from peer-reviewed publication: G.-W. Truong et al., Mid-infrared supermirrors with finesse exceeding 400 000, Nature Communications. For trace gas sensing and precision spectroscopy, optical cavities incorporating low-loss mirrors are indispensable for path length and optical intensity enhancement. Optical interference coatings in the visible and near-infrared (NIR) spectral regions have achieved total optical losses below 2 parts per million (ppm), enabling a cavity finesse in excess of 1 million.

The "cookiecutter-nist-python" template includes all NIST specific branding for creating a python
package. Features include: Testing with pytest. Isolated testing, documentation building, etc, with nox. Linting with pre-commit.
Documentation with Sphinx, MyST, using either the furo or sphinx-book-theme theme.
Simple commands to upload package to pypi, or a personal conda channel. Simple commands to release documentation to nist-pages.

This dataset contains CSV files for the figures in the paper titled "Multi-frequency Antenna Metrology with Sparse Measurements", to be submitted to IEEE Transactions on Antennas and Propagation or IEEE Transactions on Signal Processing. In this paper, we derive and experiment with approaches to use compressive sensing for multifrequency antenna radiation pattern measurements when samples are taken on a spherical domain. In particular, we develop sparsity and low-rank compressive sensing approaches and compare them for a simulated horn antenna.

This data repository provides a central location for a body of work using one build of nickel-based alloy 718 (IN718) material and resulted in three different studies. The IN718 parts were manufactured by laser powder bed fusion using a range of laser energy densities (manipulation of processing variables) and orientations with respect to the build direction. The influence of processing variables on resulting grain structures, pore structures, and mechanical properties were studied in the as-built (not heat treated) condition.

Contains associated data for the manuscript "Layered Security Guidance for Data Asset Management in Additive Manufacturing" by Fahad Milaat and Joshua Lubell. The associated data is the source of the OSCAL representations in Section 4 of the manuscript.

The main goal of `pyproject2conda` is to provide a means to keep all basic
dependency information, for both `pip` based and `conda` based environments, in
`pyproject.toml`. I often use a mix of pip and conda when developing packages,
and in my everyday workflow. Some packages just aren't available on both.
The application provides a simple comment based syntax to add information to dependencies when creating
`environment.yaml`. This package is actively used by the author, but is still very much a work in

Single-track laser scans were produced with Yb-fiber lasers on bare plates of IN625 and IN718 using three different laser powder bed fusion machines. The laser power, scan speed, and laser spot diameter varied. Tracks were cross-sectioned and metallographically prepared. Optical micrographs were taken on etched samples. Melt pool depth and width measurements were made on optical micrographs. The dataset includes optical micrographs and melt pool width and depth measurements.