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76 results found

QFlow 2.0: Quantum dot data for machine learning

Data provided by  National Institute of Standards and Technology

Using a modified Thomas-Fermi approximation, we model a reference semiconductor system comprising a quasi-1D nanowire with a series of five depletion gates whose voltages determine the number of quantum dots (QDs), the charges on each of the QDs, as well as the conductance through the wire. The original dataset, QFlow lite, consists of 1 001 idealized simulated measurements with gate configurations sampling over different realizations of the same type of device.

Tags: machine learning,quantum dots,simulated data,

Modified: 2024-02-22

Views: 0

Nestor: a toolkit for quantifying tacit maintenance knowledge, for investigatory analysis in smart manufacturing

Data provided by  National Institute of Standards and Technology

There is often a large amount of maintenance data already available for use in Smart Manufacturing systems, but in a currently-unusable form: service tickets and maintenance work orders (MWOs). Nestor is a toolkit for using Natural Language Processing (NLP) with efficient user-interaction to perform structured data extraction with minimal annotation time-cost.

Tags: information,communication,maintenance,tribal knowledge,event sequences,training,machine learning,data cleaning,prognostics,diagnostics,visualization,decision guidance,CMMS,scheduling,investigations,nestor,smart manufacturing,manufacturing operations,manufacturing performance,

Modified: 2024-02-22

Views: 0

NIST Micronutrients Measurement Quality Assurance Program Winter and Summer 2017 Comparability Studies

Data provided by  National Institute of Standards and Technology

The Micronutrients Measurement Quality Assurance Program (MMQAP) was coordinated by the Chemical Sciences Division and supported measurement technology for selected fat- and water-soluble vitamins and carotenoids in human serum. This program was initiated in 1984 by the National Cancer Institute Division of Cancer Prevention and Control to ensure the long-term reliability of the measurements made while studying the possible cancer chemoprevention roles of these compounds.

Tags: interlaboratory comparisons,Biosciences and Health,Energy,Environment and Climate,Food and Nutrition,fat-soluble vitamins,Carotenoids,Vitamin C,Human Serum,interlaboratory study,

Modified: 2024-02-22

Views: 0

Albatross Species Chemical Database and Annotated Bibliography

Data provided by  National Institute of Standards and Technology

Database and annotated bibliography of contaminants in tissues from albatross (Family Diomedeidae) species. Database is saved as current Microsoft Access 365 .accdb file and a backward compatible to Access 2000 .mdb file and a Microsoft Excel .xlsx file which has the database output information, introduction with description of headers, and some derived data. A free viewer for Excel is at: https://www.microsoft.com/en-us/p/xlsx-viewer-free/9nblggh6hbf4?activet….

Tags: seabird,tissues,PAHs,PBDEs,PCBs,PCDDs,PCDF,perflourinated acids,phenols,toxicology pesticides,mercury,trace elements,heavy metals,organic,inorganic,chemistry,stable isotopes,Environment and Climate,

Modified: 2024-02-22

Views: 0

REMI: Resource for Materials Informatics

Data provided by  National Institute of Standards and Technology

The REsource for Materials Informatics (REMI) will host a diverse collection of scripting notebooks (Jupyter, Matlab LiveScripts, etc.) for collecting, pre-processing, analyzing, and visualizing materials data. Notebooks are curated using tags aligned to Materials Science and Data Science topics. REMI emerged from the realization that both experts and novices wanted examples of using machine learning for science. Meanwhile, lots of experts are developing digital notebooks (e.g. Jupyter) to demonstrate step-by-step data collection, pre-processing, analysis and visualization.

Tags: machine learning,data analysis,data processing,materials science,materials genome initiative,

Modified: 2024-02-22

Views: 0

Precision spectroscopy of nitrous oxide isotopocules with a cross-dispersed spectrometer and a mid-infrared frequency comb

Data provided by  National Institute of Standards and Technology

Data set from peer-reviewed publication: D. M. Bailey et al., Precision spectroscopy of nitrous oxide isotopocules with a cross-dispersed spectrometer and a mid-infrared frequency comb, Analytical Chemistry, 92, 13759-13766 (2020).

Tags: greenhouse gases,Nitrous Oxide,spectroscopy,optical frequency combs,remote sensing,Environment and Climate,

Modified: 2024-02-22

Views: 0

Dark solitons in BECs dataset 2.0

Data provided by  National Institute of Standards and Technology

Atomic Bose-Einstein condensates (BECs) are widely investigated systems that exhibit quantum phenomena on a macroscopic scale. For example, they can be manipulated to contain solitonic excitations including conventional solitons, vortices, and many more. Broadly speaking, solitonic excitations are solitary waves that retain their size and shape and often propagate at a constant speed. They are present in many systems, at scales ranging from microscopic, to terrestrial and even astronomical.

Tags: machine learning,Bose-Einstein condensates,dark solitons,

Modified: 2024-02-22

Views: 0

Absolute 13C/12C Isotope Amount Ratio for Vienna Pee Dee Belemnite from Infrared Absorption Spectroscopy

Data provided by  National Institute of Standards and Technology

Data set from peer-reviewed publication: A. J. Fleisher et al., Absolute 13C/12C Isotope Amount Ratio for Vienna Pee Dee Belemnite from Infrared Absorption Spectroscopy, Nature Physics. Measurements of isotope ratios are predominantly made with reference to standard specimens that have been characterized in the past. In the 1950s, the carbon isotope ratio was referenced to a belemnite sample collected by Heinz Lowenstam and Harold Urey in South Carolina?s Pee Dee region.

Tags: greenhouse gases,carbon dioxide,oceans,ph,marine mammals,remote sensing,seabirds,Environment and Climate,

Modified: 2024-02-22

Views: 0

FIZ/NIST Inorganic Crystal Structure Database (ICSD) - SRD 84

Data provided by  National Institute of Standards and Technology

The Inorganic Crystal Structure Database (ICSD) is produced cooperatively by the Fachinformationszentrum Karlsruhe (FIZ) and the National Institute of Standards and Technology (NIST). Components and devices used in a broad spectrum of technology sectors such as health care, communications, energy and electronics are manufactured from crystalline materials; the development of advanced crystalline materials requires accurate crystal-structure data.

Tags: Rietveld profiles,X ray crystallography,X ray diffraction,X rays,XRD,absolute configurations,chemical structures,crystal data,crystal structures,crystallography,crystals,defect structures,diffraction,disorders,electron diffractions,electrons,identification,inorganic,inorganic structures,magnetic structures,materials,metals,mineral names,minerals,mixed crystal solid solutions,mixed crystals,modulated structures,neutron diffractions,neutrons,nuclear magnetic resonance,polytype structures,powder simulations,power,powers,prediction,simulations,single crystals,structure predictions,structures,synchroton radiations,twinned crystals,visualizations,x ray diffractions,

Modified: 2024-02-22

Views: 0

NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials

Data provided by  National Institute of Standards and Technology

The NIST/ARPA-E Database of Novel and Emerging Adsorbent Materials is a free, web-based catalog of adsorbent materials and measured adsorption properties of numerous materials obtained from article entries from the scientific literature. Search fields for the database include adsorbent material, adsorbate gas, experimental conditions (pressure, temperature), and bibliographic information (author, title, journal), and results from queries are provided as a list of articles matching the search parameters.

Tags: adsorbate,adsorbent,adsorption,isotherm,metal organic Framework,porous Material,surface science,Advanced Materials,Energy,Environment and Climate,manufacturing,

Modified: 2024-02-22

Views: 0