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Data set for: "Compact Homodyne Extrapolation System (CHEXS)"
Data provided by National Institute of Standards and Technology
Data set for figures in the paper titled "Compact Homodyne Extrapolation System (CHEXS)".
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Adult brain T1 and T2 values measured at 3 T using magnetic resonance fingerprinting with phantom validation
Data provided by National Institute of Standards and Technology
Test-retest MRI T1 and T2 relaxation maps obtained using magnetic resonance fingerprinting at 3 T. Maps of 20 participants and of a phantom imaged either immediately before or after an in vivo measurement.
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Optical n(p, T_90) measurement suite 3: results at 1542 nm
Data provided by National Institute of Standards and Technology
Supplemental material to the article "Optical n(p, T_90) measurement suite 3: results at 1542 nm" by P.F. Egan and Y. Yang, International Journal of Thermophysics 2024.
The supplementary material is an archive file of research data containing the single isotherm n(p, T_90) datasets for Ar, N_2, H_2O, D_2O, and He at 1542.383 nm. Scripts are included to reproduce Figs. 2, 3, 4, 5, and A1.
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Observation of Asymmetric Sideband Generation in Strongly-driven Rydberg Atoms
Data provided by National Institute of Standards and Technology
Improving the bandwidth of Rydberg atom-based receivers is an ongoing challenge owing to the long-lived Rydberg state lifetimes that limit the refresh rate of ground state atoms.
In particular, the LO-based Rydberg mixer approach allows for bandwidths into the few-MHz range.
Here we use heterodyne detection of the Rydberg atom receiver probe laser to separate the negative and positive sidebands that originate from distinct six wave mixing processes in order to investigate their individual bandwidths.
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Bicyclohexyl: Experimental and Derived Thermodynamic Properties
Data provided by National Institute of Standards and Technology
This document is part of a series of reports describing experimental property measurements completed at the National Institute for Petroleum and Energy Research (NIPER) in Bartlesville, Oklahoma, in the 1980s and 1990s. Members of the Bartlesville Thermodynamics Group included William D. "Bill" Good, William V. "Bill" Steele, Bruce E. Gammon, Norris K. Smith, Stephen E. Knipmeyer, An "Andy" Nguyen, Timothy D. Klots, I. A. "Alex" Hossenlopp, Aaron P. Rau, William B. Collier, John F. Messerly, Ann G. Osborn, Susan Lee-Bechtold, Donald G. Archer, Ian R.
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Data associated with the manuscript "Glass microwave microfluidic devices for broadband characterization of diverse fluids" submitted to the Special Issue of the International Microwave Symposium (IMS) 2024 of IEEE Transactions of Microwave Theory and Techniques.
Data provided by National Institute of Standards and Technology
Abstract from manuscript:
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Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services
Data provided by National Institute of Standards and Technology
This repository contains raw and intermediate data files as well as analysis code from the manuscript "Evaluating the Analytical Performance of Direct-to-Consumer Gut Microbiome Testing Services". In this analysis a pilot version of the homogenized whole human stool reference material was submitted as a sample to commercial direct to consumer microbiome testing companies. In addition, NIST conducted in house characterization by 16S amplicon sequencing and whole metagenomic sequencing (WMS) on the same sample.
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A Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) Associated Python Scripts
Data provided by National Institute of Standards and Technology
This is a compilation of Python scripts used when developing the Collection of Dwellings to Represent the U.S. Housing Stock (2024 Update) NIST TN.
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AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
Data provided by National Institute of Standards and Technology
AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
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Source: https://github.com/usnistgov/atomgpt
Jupyter notebook for quantifying future local impacts of sea-level rise on buildings and infrastructure
Data provided by National Institute of Standards and Technology
Jupyter notebook to accompany manuscript titled "Quantifying future local impacts of sea-level rise on buildings and infrastructure".
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