Macro-scale tensile data on additively manufactured (AM) IN625 in the as-built microstructural condition at room temperature and at different strain rates are provided in this data publication. The specimens are machined in accordance with ASTM-E8 subsize specimen with a gauge width of 6 mm and a gauge thickness of 4 mm. Three specimens are tested at a nominal strain rate of 0.001 1/s and 2 specimens are tested at a nominal strain rate of 0.01 1/s on a servo hydraulic material testing machine using a constant crosshead displacement rate of 0.03175 mm/s and 0.3175 mm/s, respectively.

The effect of the crystallographic orientation on the primary and secondary phase transformations of single-crystal silicon (Si) during indentation was investigated in a statistical instrumented-indentation study using a spherical diamond probe with a nominal tip radius of 5 µm. The primary phase transformation from the Si-I to Si-II phase were initiated above a threshold pressure during loading and assumed to be reflected as change in slope or a plateau-like discontinuity in the loading curve (pop-in event).

Python scripts and Python+Qt graphical user interface for calculating Feldman-Cousins confidence intervals for low-count Poisson processes in the presence of a known background and for Gaussian processes with a physical lower limit of 0.

Lipid nanoparticles (LNPs) were prepared as described (https://doi.org/10.1038/s42003-021-02441-2) using the lipids DLin-KC2-DMA, DSPC, cholesterol, and PEG-DMG2000 at mol ratios of 50:10:38.5:1.5. Four sample types were prepared: LNPs in the presence and absence of RNA, and with LNPs ejected into pH 4 and pH 7.4 buffer after microfluidic assembly. To prepare samples for imaging, 3 ?L of LNP formulation was applied to holey carbon grids (Quantifoil, R3.5/1, 200 mesh copper).

Data presented is part of abstract and poster titled "Entangling Superconducting Qubits over Optical Fiber ? Towards Optimization and Implementation" presented at "IEEE International Conference on Quantum Computing and Engineering - QCE22". Data includes a demonstration of squeezed light generation as the twin beam difference current relative to shot noise and a numerical simulation of the performance of 4 quantum network topologies.

The OSCAL Catalog Authoring Tool (CAT) enables users to create, scope, tailor control catalogs by creating [OSCAL Profiles in JSON format](https://pages.nist.gov/OSCAL/reference/latest/profile/json-reference/) and subsequently create new catalogs using [profile resolution](https://pages.nist.gov/OSCAL/concepts/processing/profile-resolution/).

The Tool Catalog provides an easily searchable catalog of forensic tools and techniques. This enables practitioners to find tools and techniques that meet their specific technical needs. It provides the ability to search by technical parameters based on specific digital forensics functions, such as disk imaging or deleted file recovery. Note: All information is provided by the developer. In addition, the Tool Catalog also provides a picture of the digital forensics tool landscape, showing where there are gaps, i.e., functions for which there are no tools or techniques.

The following data files include residual elastic strain, residual stress, and part deflection results associated with the 2022 Additive Manufacturing Benchmark test series (AM Bench 2022) AMB2022-01 benchmark on laser powder bed fusion (LPBF) 3D builds of nickel-based superalloy IN718 test objects. The AM builds were performed on the NIST Additive Manufacturing Metrology Testbed (AMMT).

This dataset consists of baseband in-phase/quadrature (I/Q) radio frequency recordings of Wi-Fi and Bluetooth radiated emissions in the 2.4 GHz and 5 GHz unlicensed bands collected with low-cost software defined radios. A NIST technical note describing the data collection methods is pending publication. All I/Q captures are one second in duration, with a sampling rate of 30 mega samples per second (MS/s), and a center frequency of 2437 MHz for the 2.4 GHz band captures and 5825 MHz for the 5 GHz band captures.

The NIST Fingerprint Registration and Comparison Tool (NFRaCT) is a cross-platform GUI application which allows a user to load a pair of fingerprint images, find corresponding points in both images, register and crop the images, and finally compute a series of measurements on the registered images as described in NIST Special Publication 500-336