The following data files are provided in support of the 2022 Additive Manufacturing Benchmark test series (AM-Bench 2022) modeling challenges associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects using variety of custom scan strategies.  These AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT, https://www.nist.gov/el/ammt-temps).  Note that these 3D builds are an extension of those for the AMB2022-01 challenges, and part geometry, materials data, and 'nomi

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with Microstructure measurement extension to AMB2018-01: laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN625 test objects (AMB2022-05).  Description of the associated measurements are provided in the AMB2022-05 challenge description webpage (https://www.nist.gov/ambench).Some of the work was supported by the Exascale Additive Manufacturing Application Development Project, part of the Exascale Computing Project,  (17-SC-20-SC),

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2022: Annual Supplement to NIST Handbook 13Starting in the 2022 Annual Supplement to Handbook 135, the data tables within the text document has been extracted and provided in a supplemental spreadsheet.

System output scoring software of NIST 2022 Open Fine-grained Activity Detection (OpenFAD) challenge. OpenFAD is an activity classification and detection evaluation to measure how well systems can automatically classify or temporally detect fine-grained activities collected from the Consented Activities of People (CAP) dataset using handheld devices. Covers Activity Classification- (AC) and Temporal Activity Detection-Task (TAD).

Automated Particle Analysis data sets from a TESCAN MIRA3 with 3 Pulsetor EDS detectors automated using NIST DTSA-II with the SEMantics instrument control extension.The data is in the Zeppelin format designed by RJ Lee Group.

During the COVID-19 pandemic, National Institute of Standards and Technology (NIST) performed a targeted campaign of measurements of channel power and occupancy rate in the radio spectrum. This is the dataset that resulted from that effort.Measurements were performed in 13 residential sites after a rapid engineering development effort, followed by spot measurements at a local hospital. The study targeted radio frequency allocations that support key wireless data infrastructure.

This dataset supports the manuscript " Interface formation and Schottky barrier height for Y, Nb, Au, and Pt on Ge as determined by hard x-ray photoelectron spectroscopy", and consists of two parts: (1) hard X-ray photoelectron spectroscopy (HAXPES) results from Ag, Pt, Y, Nb reference samples, and the heterojunction of these metals on Ge. (2) Input and results of density functional theory (DFT) calculations om the total and angular-momentum-projected density of states of Ge.

These data were acquired in the process of collecting data for [1]. They comprise IQ waveform outputs of two different software-defined radios (SDRs) that were collected for various combinations of 1- and 2-tone excitation conditions. For details about how the data were collected, see that publication. [1] McNulty, M., Gu, D., Kuester, D. and Nayeri, P.

Data for all measurements published in the manuscript "Bipolar Waveform Synthesis with an Optically Driven Josephson Arbitrary Waveform Synthesizer," which will be published in the journal "IEEE Transactions on Applied Superconductivity".https://doi.org/10.1109/tasc.2022.3167660All files saved as Python pickle files.

SCAP Composer is a software application for creating Security Content Automation Protocol (SCAP) source data stream collections from Extensible Markup Language (XML) documents valid with respect to schemas defined in SCAP component specifications. SCAP Composer's limited scope and small footprint make it easy to install, use, and integrate with other SCAP content development tools. SCAP Composer uses the DITA Open Toolkit, an open source publishing engine for content authored in the Darwin Information Typing Architecture (DITA).