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Data from Fire Resilience of a Steel-Concrete Composite Floor System: Full-Scale Experimental Evaluation for Influence of Slab Reinforcement (Test #2)
Data provided by National Institute of Standards and Technology
The National Institute of Standards and Technology conducted a series of large compartment fire tests to investigate the behavior and fire-induced failure mechanisms of the full-scale composite floor assemblies with the two-story steel gravity frame, two bays by three bays in plan. This report presents the experimental design and results from the second fire experiment (Test #2) conducted at the National Fire Research Laboratory.
Identifier: ark:/88434/mds2-2792
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CyRSoXS: A GPU-accelerated virtual instrument for Polarized Resonant Soft X-ray Scattering (P-RSoXS)
Data provided by National Institute of Standards and Technology
Polarized Resonant Soft X-ray scattering (P-RSoXS) has emerged as a powerful synchrotron-based tool to measure structure in complex, chemically heterogeneous systems. P-RSoXS combines principles of X-ray scattering and X-ray spectroscopy; this combination provides unique sensitivity to molecular orientation and chemical heterogeneity in soft materials such as polymers and biomaterials.
Identifier: ark:/88434/mds2-2788
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Source: https://github.com/usnistgov/cyrsoxs
cmomy: A python package to calculate and manipulate Central (co)moments.
Data provided by National Institute of Standards and Technology
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.
Identifier: ark:/88434/mds2-2787
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AM Bench 2022 Measurement Results Data: Optical Microscopy of Laser-scanned Single Tracks and Pads (AMB2022-03)
Data provided by National Institute of Standards and Technology
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).
Identifier: ark:/88434/mds2-2718
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tmmc-lnpy: A python package to analyze Transition Matrix Monte Carlo lnPi data.
Data provided by National Institute of Standards and Technology
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:
Identifier: ark:/88434/mds2-2785
Modified:
Source: https://github.com/usnistgov/tmmc-lnpy
Recommended Practices for Calibrated Millimeter-Wave Modulated-Signal Measurements
Data provided by National Institute of Standards and Technology
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.
Identifier: ark:/88434/mds2-2796
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NIST Fingerprint Image Registration Library (NFRL). Registers a pair of fingerprint images using two pairs of control-points (pixel locations). Registration is rigid; translation and rotation are performed without scaling.
Data provided by National Institute of Standards and Technology
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:
Identifier: ark:/88434/mds2-2778
Modified:
Source: https://github.com/usnistgov/NFRL
Optical spectra data for backward-wave spontaneous-parametric downconversion
Data provided by National Institute of Standards and Technology
Optical spectrum dataset for backward-wave spontaneous-parametric downconversion (BW SPDC) observed in sub-micron, periodically poled KTiOPO4 (PPKTP).
Identifier: ark:/88434/mds2-2776
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2022 MML Accolades Program
Data provided by National Institute of Standards and Technology
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.
Identifier: ark:/88434/mds2-2771
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AM Bench 2022 ASTM E8 Macroscale Tension at Different Strain Rates on As-built IN625
Data provided by National Institute of Standards and Technology
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.
Identifier: ark:/88434/mds2-2760
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