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57 results found

Hestia Fossil Fuel Carbon Dioxide Emissions Inventory for Los Angeles Basin

Data provided by  National Institute of Standards and Technology

Hestia Project quantifies, simulates and visualizes greenhouse gases such as carbon dioxide emitted in urban regions. Los Angeles basin activity is provided at the 1 km grid spatial resolution, and at temporal resolutions of hourly or annually. Hestia-LA urban CO2 emissions inventory builds upon work conducted at the national scale (Vulcan Project) that includes various sectorial attributions. Hestia's high spatial and temporal resolution datasets are currently available for 2010 to 2015, in UTC or local time.

Tags: Greenhouse Gas,carbon dioxide,CO2,Urban Emissions,Carbon Monitoring,Atmospheric Modeling,Los Angeles Basin,California,Megacities,Fossil Fuel,Bottom-up Emissions Inventory,

Modified: 2024-02-22

Views: 0

Hestia Fossil Fuel Carbon Dioxide Emissions Inventory for Urban Regions

Data provided by  National Institute of Standards and Technology

Hestia Fossil Fuel Carbon Dioxide Emissions Inventory for Urban Regions (Hestia FFCO2) provides data products for Los Angeles Basin, Northeast corridor, Indianapolis, and other U.S. Cities. Hestia FFCO2 datasets quantify greenhouse gases (GHG), such as carbon dioxide, emitted by urban regions, since cities are major contributors of anthropogenic GHG emissions. The Hestia FFCO2 datasets provide high spatial and temporal resolution CO2 concentrations at sub-county resolutions and annual/hourly time scales, specific to the region.

Tags: Greenhouse Gas,carbon dioxide,CO2,Urban Emissions,Carbon Monitoring,Atmospheric Modeling,Los Angeles Basin,Megacities,California,Indianapolis,Indiana,Baltimore,Maryland,Salt Lake City,Utah,Fossil Fuel,Bottom-up Inventory,

Modified: 2024-02-22

Views: 0

Hestia Fossil Fuel Carbon Dioxide Emissions for Indianapolis, Indiana

Data provided by  National Institute of Standards and Technology

Hestia Project quantifies, simulates and visualizes greenhouse gases such as carbon dioxide emitted in urban regions. Indianapolis data is provided at the county level (200 m grid resolution), and at hourly and yearly time frames. It builds upon work conducted at the national scale by the Vulcan Project. These high spatial and temporal resolution datasets are available from 2010 to 2015.

Tags: Greenhouse Gas,carbon dioxide,CO2,Urban Emissions,Carbon Monitoring,Atmospheric Modeling,Indianapolis,Indiana,Fossil Fuel,Bottom-up Inventory,

Modified: 2024-02-22

Views: 0

Hestia Fossil Fuel Carbon Dioxide Emissions for Baltimore, Maryland

Data provided by  National Institute of Standards and Technology

Hestia Project quantifies, simulates and visualizes greenhouse gases such as carbon dioxide emitted in urban regions. Baltimore, Maryland activity is provided at the county level (200 m grid resolution), and at hourly and yearly time frames. It builds upon work conducted at the national scale by the Vulcan Project. These high spatial and temporal resolution datasets are available from 2010.

Tags: Greenhouse Gas,carbon dioxide,CO2,Urban Emissions,Carbon Monitoring,Atmospheric Modeling,Baltimore,Maryland,Northeast Corridor,Fossil Fuel,Bottom-up Emissions Inventory,

Modified: 2024-02-22

Views: 0

Hestia Fossil Fuel Carbon Dioxide Emissions for Salt Lake City, Utah

Data provided by  National Institute of Standards and Technology

Hestia Project quantifies, simulates and visualizes greenhouse gases such as carbon dioxide emitted in urban regions. Salt Lake City, Utah activity is provided at the county level (0.002 degree grid resolution), and at hourly and yearly time frames. It builds upon work conducted at the national scale by the Vulcan Project. These high spatial and temporal resolution datasets are available for 2002, 2010, 2011, and 2012.

Tags: Greenhouse Gas,carbon dioxide,CO2,Urban Emissions,Carbon Monitoring,Atmospheric Modeling,Salt Lake City,Utah,Fossil Fuel,Bottom-up Emissions Inventory,

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

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

Calculated Diffusivities for Water Isotopologues in Carbon Dioxide, Nitrogen, and the Atmosphere of Mars, and for Methane Isotopologues in Nitrogen Representing the Atmosphere of Titan

Data provided by  National Institute of Standards and Technology

Values are computed for the dilute-gas diffusivity of water isotopologues in N2, CO2, and their mixture at a composition representing the atmosphere of Mars, for standard conditions of 101.325 kPa and water mole fraction approaching zero. Values are similarly computed for the diffusivity of methane isotopologues in N2, representing the atmosphere of Titan. Calculations employ state-of-the-art intermolecular potentials and classical trajectory calculations as described in the paper by R. Hellmann and A.H.

Tags: diffusivity,isotopes,Mars,Titan,water,methane,carbon dioxide,nitrogen,atmospheric science,

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

Ideal-gas Thermochemical Properties for Carbon Dioxide and its Isotopologues Calculated from Partition Functions

Data provided by  National Institute of Standards and Technology

Tabulations at 1 K intervals from 1 K to 6000 K of the partition function and standard-state isobaric heat capacity, entropy, and enthalpy for the 12 natural isotopologues of CO2, along with their standard uncertainties. Calculations performed with a partition function constructed from spectroscopic and theoretical data as described in the Appendix of the paper by A.H. Harvey, S.A. Tashkun, and E.W. Lemmon, to be submitted to J. Phys. Chem. Ref. Data. Note that the model does not account for dissociation of the CO2 molecule, making the results incomplete above approximately 3500 K.

Tags: carbon dioxide,heat capacity,enthalpy,entropy,ideal-gas properties,equation of state,partition function,thermochemistry,

Modified: 2024-02-22

Views: 0