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SRM 1721 Southern Oceanic Air (Ambient Nominal Amount-of-Substance Fraction: Carbon Dioxide, Methane, Nitrous Oxide)
Data provided by National Institute of Standards and Technology
Standard Reference Material-1721: Southern Oceanic Air. Ambient Nominal Amount of Substance Fraction for Carbon Dioxide, Methane & Nitrous Oxide. This Standard Reference Material (SRM) is a primary gas mixture for which the amount-of-substance fraction, expressed as concentration, may be related to secondary working standards. This SRM is intended for the calibration of instruments used for ambient carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O) determinations and for other applications. This data is public in the Certificate of Analysis for this material.
Tags: SRM,Standard Reference Material,Southern Oceanic Air,carbon dioxide,methane,Nitrous Oxide,CO2,CH4,N2O,amount of substance,Energy,Environment and Climate,
Modified: 2024-02-22
Views: 0
DFT Benchmarking
Data provided by National Institute of Standards and Technology
All the data in this project are generated running Density Functional (DFT) simulation either on NIST computer clusters of through our collaborators at University of Florida. The final data consist in relaxed atomic structures and corresponding energetic, mechanical, electronic and phonon properties. The metadata consist in the initial and relaxed structures, the description of the code, of the k points and of all the parameters used in running the simulations (energy or real space cutoff, type of minimization, occupation, etc.).
Tags: Density functional theory,DFT,Uncertainty,UQ,exchange-correlation comparison,k points,energy precision,Energy,elastic constants,energy gap,bulk modulus,
Modified: 2024-02-22
Views: 0
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
Manufacturing Cost Guide
Data provided by National Institute of Standards and Technology
The Manufacturing Cost Guide is a tool that estimates the costs that US manufacturers face and can be used to help gauge the potential returns on manufacturing industry research projects through cost reductions. These costs are grouped into various standardized categories such as the North American Industry Classification System (NAICS) and the Standard Occupational Classification (SOC) system along with other non-standardized costs.
The tool can be used to answer questions such as:
Tags: manufacturing,cost,input output,economics,labor,maintenance,Energy,value added,supply chain,environmental impact,environmental sustainability,
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
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
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
High Temperature High Pressure U-tube Density Measurements
Data provided by National Institute of Standards and Technology
Compressed-liquid density data for pure fluids and binary mixtures. Temperature range 270 K to 470 K up to pressures of 50MPa.
Tags: density,vibrating U-tube,compressed-liquids,Energy,
Modified: 2024-02-22
Views: 0