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Have you ever wondered what it is about a smart city or community that makes it ‘smart?’ In an international collaboration with Dr. Martin Serrano of the
A new collaboration between NIST's Human Genomics Team, Mass Spectrometry Data Center, and Information Technology Laboratory to use and develop artificial
In the past decade, research data have become widely recognized as a critical national and global resource, and the risks of losing or mismanaging research data
With increasing use of data-driven methodologies, concerns around data discovery, data access, and data interoperability have come to the forefront. Communities
Consortium hosted by NIST dedicated to authoritative characterization of benchmark human genomes. Sign up for General GIAB and Analysis Team email lists. Public
Tobias Rehfeldt, Ralf Gabriels, Robbin Bouwmeester, Siegfried Gessulat, Magnus Palmblad, Ben Neely, Yasset Perez-Riverol, Tobias Schmidt, Juan Antonio Vizcaíno, Eric Deutsch
Dataset acquisition and curation are often the hardest and most time-consuming parts of a machine learning endeavor. This is especially true for proteomics
Amilson R. Fritsch, Shangjie Guo, Sophia Koh, Ian Spielman, Justyna Zwolak
We establish a dataset of over 1.6 x 10^4 experimental images of Bose–Einstein condensates containing solitonic excitations to enable machine learning (ML) for
Digital Twin has become an important technology for advanced manufacturing. However, to ensure that digital twins provide valuable decision support, the results
The Engineering Laboratory has an established long-term collaboration with the NIST Statistical Engineering Division in the analysis of extreme wind speeds and
This GitHub repository contains a downloadable snapshot of National Institute of Standards and Technology's COVID-19 Data Repository, curated from the COVID-19
RECIPE is a FORTRAN program for determining one-sided tolerance limits (in particular, A- and B-basis material property values) for regression models in the
High-throughput (combinatorial) metrologies have evolved as a useful approach to rapidly determine the composition-structure-property relationships for novel