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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
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
Trojan Detection Software Challenge - image-classification-dec2020-train
Data provided by National Institute of Standards and Technology
Round 3 Training DatasetThe data being generated and disseminated is the training data used to construct trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform image classification. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.
Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,
Modified: 2024-02-22
Views: 0
Trojan Detection Software Challenge - image-classification-aug2020-test
Data provided by National Institute of Standards and Technology
Round 2 Test DatasetThe data being generated and disseminated is the test data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.
Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,
Modified: 2024-02-22
Views: 0
Trojan Detection Software Challenge - image-classification-aug2020-holdout
Data provided by National Institute of Standards and Technology
Round 2 Holdout DatasetThe data being generated and disseminated is the holdout data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.
Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,
Modified: 2024-02-22
Views: 0
Trojan Detection Software Challenge - image-classification-dec2020-test
Data provided by National Institute of Standards and Technology
Round 3 Test DatasetThe data being generated and disseminated is the training data used to construct trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform image classification. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.
Tags: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;,
Modified: 2024-02-22
Views: 0