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139 results for “carbon emissions”
TeRaCON eight years data - species composition, productivity (NPP), soil carbon emissions and plant carbon stocks:BioCON: Biodiversity, CO2, and Nitrogen
BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affe
Energy consumption and greenhouse gas emissions data of activated carbon production using different biomass
<p>This dataset includes the energy consumption and Greenhouse Gas emissions data of activated carbon production using 73 different types of woody biomass.</p> <p>Understanding the environmental implications of activated carbon (AC) produced from diverse biomass feedstocks is critical for biomass screening and process optimization for sustainability. Many studies have developed Life Cycle Assessment (LCA) for biomass-derived AC. However, most of them either focused on individual biomass species with differing process conditions or compared multiple biomass feedstocks without investigating the impacts of feedstocks and process variations. Developing LCA for AC from diverse biomass is time-consuming and challenging due to the lack of process data (e.g., energy and mass balance).</p> <p>This study addresses these knowledge gaps by developing a modeling framework that integrates artificial neural network (ANN), a machine learning approach, and kinetic-based process simulation. The integrated framework is able to generate Life Cycle Inventory data of AC produced from 73 different types of woody biomass with 250 characterization data samples. The results show large variations in energy consumption and GHG emissions across different biomass species (43.4–277 MJ/kg AC and 3.96–22.0 kg CO<sub>2</sub>-eq/kg AC). The sensitivity analysis indicates that biomass composition (e.g., hydrogen and oxygen content) and process operational conditions (e.g., activation temperature) have large impacts on energy consumption and GHG emissions associated with AC production.</p>
Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework
<p>Dataset for "Retrofitting coal-fired power plants with biomass co-firing and CCS for net zero carbon emission: A plant-by-plant assessment based on GIS-LCA framework"</p>
Global carbon dioxide efflux from rivers enhanced by high nocturnal emissions
<p>Datasets used in the publication "<strong>Global carbon dioxide efflux from rivers enhanced by high nocturnal emissions", </strong>published in <em>Nature Geoscience (</em><a href="https://www.nature.com/articles/s41561-021-00722-3">https://www.nature.com/articles/s41561-021-00722-3</a><em>)</em>.</p> <p>It consists of three files: <br> -"all_hourly_flux": file with all data for all sites at hourly resolution<br> -"all_daily_flux.csv" : file with summarised values for all sites at daily resolution<br> -"all_site_metadata.csv" : file with metadata for each site.</p> <p>Author of the repository: Gerard Rocher-Ros.<br> Contact: g.rocher.ros@gmail.com</p> <p>######<br> Units for the file: "all_hourly_flux"<br> code;label;units<br> site;Stream Id;none<br> datetime; time stamp; "YYYY-MM-DD HH:MM:SS"<br> co2; partial pressure of co2 in water; ppm<br> kgas; gas transfer velocity of co2; m d-1<br> q; discharge; L s-1<br> flux.mol.m2.h; flux of co2 to (+) or from (-) the atmosphere; mol C m-2 h-1</p> <p><br> ######<br> Units for the file: "all_site_metadata"<br> code;label;units<br> site;Stream Id;none<br> lat;Latitude;degrees<br> long;Longitude;degrees<br> elevation;Elevation;m<br> country;Country;none<br> biome;Biome;none<br> canopy;Riparian coverage ;Category<br> slope;Channel slope;m m-1<br> q;Discharge;L s-1<br> temp;Water temperature ;°C<br> doc;DOC;mg L-1<br> no3;NO3-;µg L-1<br> nh4;NH4+;µg L-1<br> ph;pH ;none<br> cond;Conductivity;µS cm-1<br> area;Area;km2<br> bare;Bare;%<br> grass;Grass;%<br> crops;Crops;%<br> forest;Forest;%<br> mat;Mean annual temperature (MAT);°C<br> map;Mean annual precipitation (MAP);mm <br> mar;Mean annual radiation (MAR);KJ m-2<br> tgpp;Total annual gross primary production (GPP);g C m-2<br> soc;Soil organic carbon content (SOC);g kg-1<br> pco2.day;pCO2 Day-time;<br> pco2.night;pCO2 Night-time;<br> pco2.diff.ppm;Absolute night-day difference pCO2;ppm<br> pco2.diff.per;Relative night-day difference pCO2;%<br> fco2.day;CO2 evasion day-time;g C m-2 d-1<br> fco2.night;CO2 evasion night-time;g C m-2 d-1<br> fco2.diff.gc;Absolute night-day difference fCO2;g C m-2<br> fco2.diff.per;Relative night-day difference fCO2;%<br> nobs.higher.night;Occurences when night > day;%<br> </p> <p> </p>
Supporting data for Relative increases in CH4 and CO2 emissions from wetlands under global warming dependent on soil carbon substrates
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Data related to "Complementary Taxation of Carbon Emissions and Local Air Pollution"
<p>This is the database necessary to run the underlying model codes in GAMS. See https://github.com/MathiasMier/CO2andAPtaxation for codes and description.</p>
Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling
<p>Hydrogeochemical data including aqueous chemistry, hydrogen and oxygen isotopes, gas components, gas helium, carbon isotopes from southern Tibet. Supporting the manuscript titled "Organic and inorganic carbon sinks reduce long-term deep carbon emissions in the continental collision margin of the southern Tibetan Plateau: Implications for Cenozoic climate cooling".</p>
A top-down method for estimating regional fossil fuel carbon emissions based on satellite XCO2 retrievals
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supplementary material for "Analyzing the joint effect of volcanic carbon and sulfur emissions on the marine carbon cycle", for Geochemistry, Geophysics, Geosystems
<p>We provide our LOSCAR output and eruption history data files, along with IPython Jupyter notebook code to plot the various main text and supplementary figures.</p> <p>Please see README.txt for more information.</p> <p> </p>
Input data for Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach
<p>This dataset contains all necessary input data to reproduce the results of the paper "Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach".</p>
Output data for Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach
<p>This dataset contains all output data (results) of the paper "Open-data based carbon emission intensity signals for electricity generation in European countries -- top down vs. bottom up approach".</p>
Rapid decline of carbon monoxide emissions in the Fenwei Plain in China during the Three-year Action Plan on Defending the Blue Sky
<p>The Fenwei Plain is one of China’s most polluted regions, with poor atmospheric dispersion conditions and an outdated energy structure. After implementing multiple policies in recent years, significant reductions in air pollutant concentrations were observed. We inferred high-resolution carbon monoxide (CO) emissions of the Fenwei Plain by inversion of observed atmospheric concentrations and analyzed the causes for variations in CO emissions, especially the effect of the “Three-year Action Plan on Defending the Blue Sky” (TAPDBS). Before the policy went into action, CO emissions temporarily increased and the overall decrease in CO emissions per unit of Gross Domestic Product (GDP) slowed down. When the policy was implemented, CO emission fluxes declined sharply, with an average drop of 28%, accompanied by an even higher 37% decrease of the CO emission per GDP. Thus, the TAPDBS has brought a breakthrough in both economic development and air quality protection in the Fenwei Plain.</p>
Replication package for: Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System
<p>This package contains three folders: the Code folder, Results (or output) folder and the data folder. It also contains a document README.pdf . </p> <p>Part of the codes can be run with the data provided in the data folder, and have _outofbox in their name. Others can only run with confidential data - all details are provided in the README.pdf file.</p> <p>These are for the paper:</p> <p>Colmer, J., R. Martin, M. Muûls, and U.J. Wagner. Does Pricing Carbon Mitigate Climate Change? Firm-Level Evidence from the European Union Emissions Trading System</p>
Carbon dioxide emissions from temperate reservoirs and pit lakes of different trophic states - Data
<p>This dataset contains results from the associated revised manuscript, as well as the data that has been used to obtain the results. </p> <p>The long-term data (monitoring data) was provided by two waterbody management agencies: a federal reservoir agency (Landestalsperrenverwaltung Sachsen – LTV, https://www.wasserwirtschaft.sachsen.de/) and a private company (Lausitzer und Mitteldeutsche Bergbau-Verwaltungsgesellschaft mbH – LMBV, https://www.lmbv.de/). </p> <p>This data can only be used with explicit approval of the respective management organization. </p>
Plant diversity mitigate carbon emissions
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The role of the discount rate for negative emissions under a carbon budget
<p>Data of the figures from the 'The role of the discount rate for negative emissions under a carbon budget'.</p>
Natural hydrogen and carbon dioxide soil gas emissions in the Perth Basin: Monitoring near DMP Harvey-2
<p>Data in support of the publication "Natural hydrogen and carbon dioxide soil gas emissions in the Perth Basin: Monitoring near DMP Harvey-2"</p>
Data for: Inundation depth stimulates plant-mediated CH4 emissions by increasing ecosystem carbon uptake and plant height in an estuarine wetland
<p>Plant-mediated CH<sub>4</sub> emission is an important part of the ecosystem CH<sub>4</sub> emission from vegetated wetlands. Inundation depth may alter the potential magnitude of CH<sub>4</sub> releases by changing CH<sub>4</sub> production and plant transport, but the relationships between plant-mediated CH<sub>4</sub> emissions and inundation depth are still uncertain, especially for estuarine wetlands with changeable hydrological processes. Besides, there are conflicting results regarding the role of inundation depth in plant-mediated CH<sub>4</sub> emissions.</p> <p>Here we conducted a novel inundation depth experiment (0, 5, 10, 20, 30 and 40 cm inundation depth) dominated by <em>Phragmites australis</em> in the Yellow River estuary, China. Soil CH<sub>4</sub> emissions, ecosystem CH<sub>4</sub> emissions, net ecosystem CO<sub>2</sub> exchange (NEE), soil organic carbon (SOC) and plant traits were measured during the growing seasons of 2018, 2019 and 2020. Plant-mediated CH<sub>4</sub> emissions were the difference between ecosystem CH<sub>4</sub> emissions and soil CH<sub>4</sub> emissions.</p> <p>The results showed that inundation depth decreased soil CH<sub>4</sub> emissions but increased ecosystem CH<sub>4</sub> emissions. Plant-mediated CH<sub>4</sub> transport from <em>Phragmites australis</em> accounted for 99% of total ecosystem CH<sub>4</sub> emissions under different inundation depths. Inundation depth strongly stimulated plant-mediated CH<sub>4</sub> emission from 0 to 20 cm during the growing seasons. The increased net ecosystem CO<sub>2</sub> exchange enhanced plant-mediated CH<sub>4</sub> emissions by altering production, suggesting that carbon components derived from photosynthetic carbon input may benefit CH<sub>4</sub> production. Additionally, the increased plant height promoted CH<sub>4</sub> emission by regulating plant transport, indicating that plant traits may play an important role in transport of CH<sub>4</sub>.</p> <p>Our findings indicated that NEE and plant height play an important role in plant-mediated CH<sub>4</sub> emissions under different inundation depths in estuarine wetland. This study also highlights that hydrological regimes and plant traits are essential for the estimation of CH<sub>4</sub> emissions in future projections of global wetland changes.</p>
Methane emissions in seagrass meadows as a small offset to carbon sequestration
<p>Station P: Masterfile includes environmental data and CO2, CH4 and radon concentration at Station P </p> <p>Station S: Masterfile includes the environmental data and CO2, CH4 and radon concentration at Station S </p> <p>Sediment Core: Master file includes the porewater DIC and CH4 concentration</p> <p>Survey: Master file of spatial survey includes GPS location, CH4 concentration </p>
An assessment of energy system transformation pathways to achieve net-zero carbon dioxide emissions in Switzerland. Supplementary Information Assumptions and Results
<p>This dataset accompanies the corresponding article in Communications Earth and Environment. It contains the key assumptions used in the energy system modelling with the Swiss TIMES energy systems model (STEM) for assessing net-zero carbon dioxide emissions scenarios for Switzerland. In addition, contains extensive results from STEM for each one of the core scenarios and variants assessed in the study.</p> <p>The following files are contained in this repository:</p> <ul> <li><strong>Supplementary Data 1</strong>: This is the EXCEL file "Supplementary_Information_Assumptions.xslx" which contains key assumptions of the long-term scenarios assessed with STEM. These include among others: the major energy and climate policies in each scenario, the economic and demographic assumptions, key drivers for the residential energy demand (e.g., floor reference area or appliances), key drivers for the energy demand in the services sectors (e.g., Gross Value Added or floor area), key drivers for the energy demand in industry (e.g., production index or Gross Value Added), mobility demands, energy import prices, hourly electricity import prices, net transfer capacities, domestic sustainable renewable resource potentials, energy supply and demand technologies costs and efficiencies</li> <li><strong>Supplementary Data 2</strong>: This is the EXCEL file "Supplementary_Information_Results.xlsx" which contains energy balances from the baseline and the net-zero CO<sub>2</sub> emissions scenarios. The results for each scenario are: domestic production by fuel, net imports by fuel, primary energy consumption by fuel, input to conversion sectors by fuel, electricity supply and capacities by fuel, district heating supply by fuel, final energy consumption by fuel and sector, CO2 emissions by source, energy system costs, and indicators such as energy consumption per capita, energy intensity of GDP, CO2 emissions per capita and CO2 intensity of GDP. </li> <li><strong>Supplementary Data 3</strong>: The ZIP file "Source_code_and_data_for_charts.zip" contains source codes and data for reproducing the figures in the manuscript. </li> </ul>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.