National Institute of Standards and Technology (NIST) public data inventory is a catalog of digital products generated from the NIST enterprise data inventory (EDI). The catalog is dynamically updated in coordination with mission goals for the dissemination of information for discovery and access. It includes digital products derived from multiple disciplines of scientific, engineering and technology areas of research and operation. This inventory is provided as a data.json file format, based on the DCAT-US Schema v1.1 standard definition.

Specimens from one build of laser powder bed fusion (PBF-L) titanium alloy (Ti-6Al-4V) were split equally into two heat treatment conditions. The first condition is a non-standard hot isostatic pressing (HIP) heat treatment (800 °C, 2 h, argon pressure of 200 MPa, approximately 12 °C/min cooling rate), which will be referred to as 800HIP. The second condition is the same heat treatment but in a vacuum furnace with a partial pressure of argon (75 mTorr), and will be referred to as 800VAC.

This challenge is a follow-on from AMB2022-01 laser powder bed fusion (PBF-LB) alloy Inconel 718 in the as-built condition (no heat treatment). Eight continuum-but-miniature tensile specimens were excised from the same size legs (2.5 mm width) of one original AMB2022-01 specimen (AMB2022-718-AMMT-B7-P4). Excised tensile specimens were quasi-static uniaxially tensile tested according to ASTM E8 (strain rate 1*10-3 sec-1, 3 mm gauge length custom contact extensometer).

The Annual Survey of Manufactures (ASM) Benchmark provides key intercensal measures of manufacturing activity and products for the public and private sectors for four years following the Economic Census of Manufacturing. These benchmark tables present manufacturing establishment statistics from the 2018-2021 Annual Survey of Manufactures (ASM).

The increasing amounts of discarded textiles represent a potentially valuable resource that could be reclaimed. This work underscores the significance of advancing chemical recycling techniques for multi-component fabrics under mild reaction conditions. We present a method for nondestructive recovery of cotton (C), elastane, and nylon from polyester (polyethylene terephthalate (P)) textile blends through alkaline hydrolysis, supported with a phase-transfer catalyst.

This dataset presents statistics for Manufacturing: Method of Inventory Valuation for the U.S.

This dataset presents statistics for Manufacturing: Inventories with LIFO Valuation for the U.S.

This dataset presents statistics for Mining: Inventories with LIFO Valuation for the U.S.

Provides data for veterans of the United States on Vietnam-theater and Persian Gulf-theater status, service-connected income, effect of a service-connected disability on current labor force participation and participation in veterans' programs.

AgentDojo-Inspect is a codebase created by the U.S. AI Safety Institute to facilitate research into agent hijacking and defenses against said hijacking. Agent hijacking is a type of indirect prompt injection [1] in which an attacker inserts malicious instructions into data that may be ingested by an AI agent, causing it to take unintended, harmful actions.AgentDojo-Inspect is a fork of the original AgentDojo repository [2], which was created by researchers at ETH Zurich [3]. This fork extends the upstream AgentDojo in four key ways:1.