Included here are figures and other relevant data from the paper "Characterizing Interconnects to 325 GHz". Abstract: We developed an interconnect characterization procedure that first embeds the interconnect into the error boxes of a multiline thru-reflect-line calibration and subsequently de-embeds the interconnect with a multi-tiered calibration. We experimentally validated our method with distributed contactless interconnects in the form of broadside coupled coplanar waveguides as a test case.

This data set includes data and metadata about a metallurgical analysis and conservation of turbine blades from a recovered F-1 engine from the Apollo 16 Saturn V rocket. This data set includes:  images of the as recovered turbine blades, cross sections of the recovered turbine blades after vacuum impregnation, x-ray fluorescence (XRF) and energy dispersive spectroscopy (EDS) measurements of the recovered turbine blades.

This resource is the implementation in XML Schema [1] of a data model that describes the Additive Manufacturing Benchmark 2022 series data. It provides a robust set of metadata for the build processes and their resulting specimens and for measurements made on these in the context of the AM Bench 2022 project.The schema was designed to support typical science questions which users of a database with metadata about the AM Bench results might wish to pose.

Meta learning with LLM: supplemental code for reproducibility of computational results for MLT and MLT-plus-TM. Related research paper: "META LEARNING WITH LANGUAGE MODELS: CHALLENGES AND OPPORTUNITIES IN THE CLASSIFICATION OF IMBALANCED TEXT", A. Vassilev, H. Jin, M. Hasan, 2023 (to appear on arXiv).

Experimental and modeling data for manuscript "Scalable and Robust Beam Shaping Using Apodized Fish-bone Grating Couplers" by Chad Ropp, Dhriti Maurya, Alexander Yulaev, Daron Westly, Gregory Simelgor and Vladimir Aksyuk, submitted. Preprint at arXiv:2309.08791.

This dataset contains CSV files for the figures in the paper titled "Quadrature-Based Compressive Sensing Guarantees for Bounded Orthonormal Systems", to be submitted to the journal IEEE Signal Processing Letters. In this paper, we derive an approach to apply compressive sensing guarantees to linear inverse problems where measurements are samples of a function that can be expanded in a series of bounded orthonormal functions and require implementations using fast transform algorithms.

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.

Validation data and software for the paper, "ATIC: Automated Testbed for Interference Testing in Communication Systems," to appear in Proceedings of 2023 IEEE Military Communications Conference. See the README file for descriptions of the data files. Software is available at https://github.com/usnistgov/atic.

Data tables for Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2023: Annual Supplement to NIST Handbook 135. Starting in 2022, the data tables for the annual supplement within the text document has been extracted and provided in a supplemental spreadsheet.

The following data files include in-situ thermographic measurement results, scan strategy, and various additional data associated with laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects for the 2022 Additive Manufacturing Benchmark (AM-Bench) test series. These data are associated with the AMB2022-01 series of modeling challenges described here: https://www.nist.gov/ambench/amb2022-01-benchmark-measurements-and-chal….