This document details the data registration process for the previously published datasets from Additive Manufacturing Metrology Testbed (AMMT) parts, "Overhang Part X4," generated at the National Institute of Standards and Technology (NIST). The two datasets —one for process monitoring and the other for XCT inspection—covering four overhang parts, along with their descriptions were published in 2020. The published data have been well-received by the community, advancing the understanding of laser powder bed fusion additive manufacturing (AM).

This Photopolymer AM Bench-2025 Challenge is to predict the cure depth versus radiant exposure (often called dose) of prototypical resins with varying monomer functionality and photoabsorber type, for irradiation with narrow-bandwidth (< 5 nm) 385 nm or broad-bandwidth (> 10 nm) 405 nm ot 385 nm light. Fluorescing and non-fluorescing absorbers will be considered. Specimens will be large enough such that size-dependent effects are negligible. Modelers will be provided with reactivity and thermophysical property data for the resins as well as radiometric data for the light sources.

The data in this package contains the raw plot data for the paper "Garey WD, Sun Y, Rouil RA (2025) A QoE-Based Method for Quantifying and Comparing LTE Coverage. (National Institute of Standards and Technology, Gaithersburg, MD), 8566. https://doi.org/10.6028/NIST.IR.8566.&quot; This includes the data for Figures 10, 13, and 14.

This data can be used to generate the figures reported in An Accurate Determination of O2 A-band Line Intensities through Experiment and Theory

Data here contain and describe an open-source structured query language (SQLite) portable database containing high resolution mass spectrometry data (MS1 and MS2) for pyrrolizidine alkaloids (PAs) and associated metadata regarding their measurement techniques, quality assurance metrics, and the samples from which they were produced. These data are stored in a format adhering to the Database Infrastructure for Mass Spectrometry (DIMSpec) project. That project produces and uses databases like this one, providing a complete toolkit for non-targeted analysis.

This dataset is a set of life cycle assessment (LCA) models for select construction materials that have been developed by the Applied Economics Office of the Engineering Laboratory. An LCA model consists of two components: an inventory and a dataset(s). An inventory compiles and quantifies environmentally relevant flows: products, materials (including waste and emissions), or energy as defined in ISO 14040. Datasets contain environmentally relevant information of the process producing or treating the related flow.

This dataset contains raw mechanical data (strain, stress and strain rate curves and initial temperatures) for compression experiments performed on AISI 1018 steel in a heat treated condition (1018 HT) using the NIST pulse-heated Kolsky Bar [1] at strain rates between 4000 1/s and 6000 1/s and initial temperatures from 23 °C to 940 °C and total heating times of 3.5 s. At this time, the thermal histories of the specimens during heating are not included in the dataset but this information may be included in a future update.

This dataset contains raw mechanical data (strain, stress and strain rate curves and initial temperatures) for compression experiments performed on AISI 1075 steel in a heat treated condition (1075 HT) using the NIST pulse-heated Kolsky Bar [1] at strain rates between 2400 1/s and 4000 1/s and initial temperatures from 23 °C to 920 °C and total heating times of 3.5 s. At this time, the thermal histories of the specimens during heating are not included in the dataset but this information may be included in a future update.

This dataset contains compressive stress-strain data (strain, stress and strain rate curves and initial temperatures) for compression experiments performed on wrought and AM 17-4 precipitation-hardenable stainless steel (PH SS) using the NIST Kolsky Bar apparatus [1] and a servohydraulic test machine. The wrought data are obtained for three standard heat treatment conditions, including solutionized, H900 and H1150. Additional data are obtained for additional heat treatment times and temperatures to obtain precipitation kinetics information.

This dataset is a set of life cycle assessment (LCA) models for select construction materials that have been developed by the Applied Economics Office of the Engineering Laboratory. An LCA model consists of two components: an inventory and a dataset(s). An inventory compiles and quantifies environmentally relevant flows: products, materials (including waste and emissions), or energy as defined in ISO 14040. Datasets contain environmentally relevant information of the process producing or treating the related flow.