cmomy is a python package to calculate central moments and co-moments in a numerical stable and direct way. Behind the scenes, cmomy makes use of Numba to rapidly calculate moments. cmomy provides utilities to calculate central moments from individual samples, precomputed central moments, and precomputed raw moments. It also provides routines to perform bootstrap resampling based on raw data, or precomputed moments. cmomy has numpy array and xarray DataArray interfaces.

The following data files are provided in support of the AM Bench 2022 modeling challenges associated with bare plate single track and pad laser scans performed on the NIST Additive Manufacturing Metrology Testbed (https://www.nist.gov/el /ammt-temps).

A python package to analyze ``lnPi`` data from Transition Matrix Monte Carlo
(TMMC) simulation. The main output from TMMC simulations, ``lnPi``, provides a means to calculate a host of thermodynamic
properties. Moreover, if ``lnPi`` is calculated at a specific chemical potential, it can be reweighted to provide
thermodynamic information at a different chemical potential. The python package``tmmc-lnpy`` provides a wide array of routines to analyze ``lnPi`` data. These include:

In this paper, we have demonstrated the importance of choosing the correct reference plane for applications such as over-the-air (OTA) modulated-signal measurements at millimeter-wave frequencies. We have employed a modulated-signal source at 44 GHz for this demonstration. The measurements have been performed using NIST's calibrated sampling oscilloscope and are traceable to the primary standards. The EVM values and distributions are obtained after complete uncertainty analyses.

NFRL registers two fingerprint images based on a pair of corresponding control-points. It uses this control-point
pair of pixel locations within the images to translate and rotate the Moving image to the Fixed image.
Runtime configuration parameters include:

* moving and fixed image data in 8-bits-per-pixel grayscale (preferable but not required)

* two-pairs of corresponding control points (pixel coordinates).

The fingerprint-image rigid-registration process is performed in two steps:

Optical spectrum dataset for backward-wave spontaneous-parametric downconversion (BW SPDC) observed in sub-micron, periodically poled KTiOPO4 (PPKTP).

The main data is a webpage with a list of MML Accolade winners from 2022. There is also a csv file with the recipients' names, workplaces, and recognition category/citation.

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.

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.