Supplementary Data for the paper "Three-Dimensional Particle Shape Analysis Using X-ray Computed Tomography: Experimental Procedure and Analysis Algorithms for Metal Powders" by E.J. Garboczi and N. Hrabe. Contains all the data and programs described in this paper to generate the results discussed in the paper. Also contains all the results that are generated by the data and programs, with which the user can compare to check their results.

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 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.

The NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials is a free, web-based catalog of adsorbent materials and measured adsorption properties of numerous materials obtained from article entries from the scientific literature. Search fields for the database include adsorbent material, adsorbate gas, experimental conditions (pressure, temperature), and bibliographic information (author, title, journal), and results from queries are provided as a list of articles matching the search parameters.

SolidWorks Part file (CAD file) for a CoCr "lattice" structure additively manufactured in a laser bed powder fusion (LPBF) system at NIST.

This data set contains files included in the detailed instructional demonstration paper submitted to Integrating Materials and Manufacturing Innovation. The detailed instructional demonstration paper includes documentation detailing how to configure and carry out a repeatable Rietveld Refinement with the software MAUD. The data set provides: diffraction data from two different neutron diffraction measurements, crystallographic information files, and configuration files for the refinement process.

The National Institute of Standards and Technology, Intelligent Systems Division has collected data measuring human subjects, while performing common, simulated industrial manufacturing tasks with and without wearing an exoskeleton. Five tests were completed as part of a research study to develop measurement science towards standard test methods. For simulated industrial manufacturing tasks were performed using a novel, now standardized apparatus, called the Position and Load Test Apparatus for Exoskeletons (PoLoTAE).

The STEP File Analyzer and Viewer is a software tool that generates a spreadsheet or a set of CSV (comma-separated value) files from a STEP (ISO 10303 Standard for Exchange of Product model data) Part 21 file. STEP files are used to represent product and manufacturing information (PMI) and for data exchange and interoperability between Computer-Aided Design (CAD), Manufacturing (CAM), Analysis (CAE), and Inspection (CMM) software related to the smart manufacturing digital thread. STEP is also used for the long-term archiving and retrieval of product data.

NIST has created a Test System to measure conformance of Computer-Aided Design (CAD) software to American Society of Mechanical Engineers (ASME) standards for Product and Manufacturing Information (PMI), specifically geometric dimensioning and tolerancing (GD&T) information. The test system includes: test case definitions (2D CAD drawings with PMI), CAD models generated from the test cases, STEP files generated from the CAD models, and verification and validation reports.

The Bulk Data Storage System (BDSS) API allows the public to discover, search by date, and download patent and trademark data within BDSS in bulk form.