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111 results for “CO2 emissions”
NACP MCI: CO2 Emissions Inventory, Upper Midwest Region, USA., 2007
This data set provides a bottom-up CO2 emissions inventory for the mid-continent region of the United States for the year 2007. The study was undertaken as part of the North American Carbon Program (NACP) Mid-Continent Intensive (MCI) campaign. Emissions for the MCI region were compiled from these resources into nine inventory sources (Table 1):(1) forest biomass and soil carbon, harvested woody products carbon, and agricultural soil carbon from the U.S. Greenhouse Gas (GHG) Inventory (EPA, 2010; Heath et al., 2011);(2) high resolution data on fossil and biofuel CO2 emissions from Vulcan (Gurney et al,. 2009); (3) CO2 uptake by agricultural crops, lateral transport in crop biomass harvest, and livestock CO2 emissions using USDA statistics (West et al., 2011); (4) agricultural residue burning (McCarty et al., 2011);(5) CO2 emissions from landfills (EPA, 2012);(6) and CO2 losses from human respiration using U.S. Census data (West et al., 2009). The CO2 inventory in the MCI region was dominated by fossil fuel combustion, carbon uptake during crop production, carbon export in biomass (commodities) from the region, and to a lesser extent, carbon sinks in forest growth and incorporation of carbon into timber products.
Vulcan: High-Resolution Hourly Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3
The Vulcan version 3.0 hourly dataset quantifies hourly emissions at a 1-km resolution for the 2010-2015 time period. Estimates are provided of hourly carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the state of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Files for hourly total emissions are also available. Data are represented in space on a 1 km x 1 km grid as hourly totals for 2010-2015. This dataset provides the first bottom-up U.S.-wide FFCO2 emissions data product at 1 km2/hourly for multiple years and is designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.
Vulcan: High-Resolution Annual Fossil Fuel CO2 Emissions in USA, 2010-2015, Version 3
The Vulcan version 3.0 annual dataset provides estimates of annual carbon dioxide (CO2) emissions from the combustion of fossil fuels (FF) and CO2 emissions from cement production for the conterminous United States and the State of Alaska. Referred to as FFCO2, the emissions from Vulcan are categorized into 10 source sectors including; residential, commercial, industrial, electricity production, onroad, nonroad, commercial marine vessel, airport, rail, and cement. Data are gridded annually on a 1-km grid for the years 2010 to 2015. These data are annual sums of hourly estimates. Also provided are estimates of the upper 95% confidence interval and the lower 95% confidence interval boundaries for each emission estimate. For each uncertainty level, there are 10 individual sector files and one total file. These data are designed to be used as emission estimates in atmospheric transport modeling, policy, mapping, and other data analyses and applications.
Global Peatland Carbon Balance and Land Use Change CO2 Emissions Through the Holocene
This data set provides a time series of global peatland carbon balance and carbon dioxide emissions from land use change throughout the Holocene (the past 11,000 yrs). Global peatland carbon balance was quantified using a) a continuous net carbon balance history throughout the Holocene derived from a data set of 64 dated peat cores, and b) global model simulations with the LPX-Bern model hindcasting the dynamics of past peatland distribution and carbon balance. CO2 emissions from land-use change are based on published scenarios for anthropogenic land use change (HYDE 3.1, HYDE 3.2, KK10) covering the last 10,000 years. This combination of model estimates with CO2 budget constraints narrows the range of past anthropogenic land use change emissions and their contribution to past carbon cycle changes.
Attributing agnostically-detected large reductions in road CO2 emissions to policy mixes (code and data)
<p>Data and code to reproduce the main results of the paper.</p>
GRACED2021-Near-real-time global gridded daily CO2 emissions 2021
<p><strong>Description:</strong></p> <p>GRACED2021-Near-real-time global gridded daily CO<sub>2</sub> emissions 2021</p> <p><strong>The website: https://carbonmonitor-graced.com</strong></p> <ul> <li>In an era of rapid upheavals, global near-real-time and fine-grid carbon dioxide (CO<sub>2</sub>) emissions data are essential to monitoring the distribution of emissions in space and time and achieving carbon neutrality worldwide. To address this need, we presented the near-real-time Global Gridded Daily CO<sub>2</sub> Emissions Dataset (GRACED) throughout 2021.</li> <li>GRACED provides gridded CO<sub>2</sub> emissions at a 0.1° × 0.1° spatial resolution and 1-day temporal resolution from cement production, and from fossil fuel combustion over seven sectors (power; industry; residential consumption; ground transportation; international aviation; international shipping; domestic aviation).</li> <li>GRACED data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. The availability of these data does not constitute publication of the data. The data providers rely on the ethics and integrity of the user to ensure that they receive fair credit for their work. If the data are obtained for potential use in a publication or presentation, we kindly ask you to inform us at the outset of the nature of this work. If the GRACED data are essential to the work, or if an important result or conclusion depends on the GRACED data, co-authorship may be appropriate. This should be discussed at an early stage in the work. Manuscripts using the GRACED data should be sent for review before they are submitted for publication so we can ensure that the quality and limitations of the data are accurately represented. </li> <li>Because GRACED2021 has a large amount of data and the Zenodo platform has a limit on the total amount of uploaded data, we recommend that data users download GRACED2021 data for free through the cloud disk link- <em><strong>https://cloud.tsinghua.edu.cn/d/24d9ed6e225d455a834e/.</strong></em></li> <li>For more detailed display and introduction of data, as well as download of more GRACED data, please refer to our official website of GRACED - <strong>https://carbonmonitor-graced.com</strong>. </li> <li>Please check the README.txt file for more details.</li> </ul>
Impact of negative and positive CO2 emissions on global warming metrics using an ensemble of Earth system model simulations
<p>The data provided here has been used to create the figures in the paper submitted to Biogeosciences titled <em>Impact of negative and positive CO2 emissions on global warming metrics using an ensemble of Earth system model simulations.</em></p>
Data accompanying the paper: Multistability and transient response of the Greenland ice sheet to anthropogenic CO2 emissions
<p>Data accompanying the paper: Multistability and transient response of the Greenland ice sheet to anthropogenic CO<sub>2</sub> emissions</p>
CO2 emission for iron and steel plants, 2019
<p>This dataset provides the CO2 emission in 2019, the physical address, and the name of the global iron and steel plants.</p>
Datasets for modelling direct CO2 emissions and uptake at neighborhood scale over the urban area of Beijing
Open the record for dataset details and reuse information.
Source data: High respiration rates induce net CO2 emissions in an urban allotment garden in Finland
Open the record for dataset details and reuse information.
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.