The following data files include microstructure measurement results associated with the 2022 Additive Manufacturing Benchmark test series (AM Bench 2022) AMB2022-03 set of benchmarks. These AMB2022-03 benchmarks explore a range of individual and overlapping melt pool behaviors using individual laser tracks and 2D arrays of laser tracks (pads) on solid metal IN718 plates. For the individual laser tracks, a range of laser parameters was used, with variations in laser power, speed, and spot diameter.

Cross-language information extraction and retrieval datasets developed for the evaluation of the IARPA BETTER program. The documents come from CommonCrawl. The IE annotations in three schemas are by MITRE and ARLIS. The IR queries and relevance judgments were done at NIST, and NIST was asked by IARPA to distribute the data in its final form. The tasks are all cross-language from English into one of Arabic, Farsi, Russian, Chinese, and Korean

The Camp Fire ignited on November 8, 2018 in the foothills of the Sierra Nevada in Butte County, California. The first 24 hours were characterized by a fast-moving fire with initial spread driven by high winds up to 22 m/s (50 mi/h) and long-range spotting up to 6.3 km (3.9 mi) into the community. The fire quickly impacted the communities of Concow, Paradise, and Magalia. The Camp Fire became the most destructive and deadly fire in California history, with over 18000 destroyed structures, 700 damaged structures, and 85 fatalities.

This dataset contains information from investigating the effects of micro-computed tomographic imaging irradiation on vinyl nitrile foam and code for a finite element user material to model these effects. More details are available in the README.txt and data_summary.txt files in the main directory.Data in the repository includes exposure and dosage calibration files (.csv, .dat, .mat, .in, .png. .jpg), imaging data from optical microscopy (.tif, .zvi) and scanning electron microscopy with energy-dispersive spectroscopy (SEM EDS) (.tif, .png, .docx).

This repository contains the collected resources submitted to and created by the NIST Collaborative Research Cycle (CRC) Data and Metrics Archive. The NIST Collaborative Research Cycle (CRC) is an ongoing effort to benchmark, compare, and investigate deidentification technologies. The program asks the research community to deidentify a compact and interesting dataset called the NIST Diverse Communities Data Excerpts, demographic data from communities across the U.S. sourced from the American Community Survey.

M-cresol purple is the most widely used pH indicator dye for seawater pH measurements. Impurities in the indicator are known to absorb strongly at one of the wavelengths used in spectrophotometric pH determination and lead to large biases in the pH measurements. This repository contains data and Matlab scripts to facilitate the implementation of a DD-SIMCA model for detecting residual impurities in purified m-cresol purple (mCP) relevant to climate quality seawater pH measurements.

Recent advances in Rydberg atom electrometry detail promising applications in radiofrequency (RF) communications. Presently, most applications use carrier frequencies greater than 1 GHz where resonant Autler-Townes splitting provides the highest antenna sensitivity. This letter documents a series of experiments with Rydberg atomic antennas to collect and process waveforms from the automated identification system (AIS) used in maritime navigation in the VHF band. This is difficult with conventional resonant Autler-Townes based Rydberg sensing.

The NIST RDaF is a map of the research data space that uses a lifecycle approach with six high-level lifecycle stages to organize key information concerning research data management (RDM) and research data dissemination. Through a community-driven and in-depth process, stakeholders identified topics and subtopics?programmatic and operational activities, concepts, and other important factors relevant to RDM. All elements of the RDaF framework foundation?the lifecycle stages and their associated topics and subtopics?are defined.

"module-utilities" is a python package of utilities to simplify working with python packages.The main features of `module-utilities` are as follows: "cached" module: A module to cache class attributes and methods. Right now, this uses a standard python dictionary for storage. Future versions will hopefully be more robust to threading and shared cache."docfiller" module: A module to share documentation. This is adapted from the pandas `doc` decorator.

The repository contains the analysis and results collected during a metabolomics interlaboratory study. The study involved the experimental analysis of human stool from vegan and omnivore donors preserved in lyophilized format and aqueous phase, all stored at -80 C. The interlaboratory study (ILS) involved 18 participant institutions, and they were given the flexibility to use their preferred sample preparation method and analytical platform to analyze the stool samples.