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35 results for “Carbon budget”
Diverging carbonate budgets following tropicalisation of temperate reefs
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Data from: The contribution of carbon budget to masting intervals in Veratrum album populations inhabiting different elevations
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Raw data for the research article "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment"
<p>These are the raw data for the paper entitled "The relevance of pyrogenic carbon for carbon budgets from fires: insights from the FIREX experiment" that is currently under revision in Global Biochemical Cycles. </p>
Data from: Coral reef carbonate budgets and ecological drivers in the central Red Sea – a naturally high temperature and high total alkalinity environment
The structural framework provided by corals is crucial for reef ecosystem function and services, but high seawater temperatures can be detrimental to the calcification capacity of reef-building organisms. The Red Sea is very warm, but total alkalinity (TA) is naturally high and beneficial for reef accretion. To date, we know little about how such detrimental and beneficial abiotic factors affect each other and the balance between calcification and erosion on Red Sea coral reefs, i.e., overall reef growth, in this unique ocean basin. To provide estimates of present-day reef growth dynamics in the central Red Sea, we measured two metrics of reef growth, i.e., in situ net-accretion/-erosion rates (Gnet) determined by deployment of limestone blocks and ecosystem-scale carbonate budgets (Gbudget), along a cross-shelf gradient (25km, encompassing nearshore, midshore, and offshore reefs). Along this gradient, we assessed multiple abiotic (i.e., temperature, salinity, diurnal pH fluctuation, inorganic nutrients, and TA) and biotic (i.e., calcifier and epilithic bioeroder communities) variables. Both reef growth metrics revealed similar patterns from nearshore to offshore: net-erosive, neutral, and net-accretion states. The average cross-shelf Gbudget was 0.66kg CaCO3m−2yr−1, with the highest budget of 2.44kg CaCO3m−2yr−1 measured in the offshore reef. These data are comparable to the contemporary Gbudgets from the western Atlantic and Indian oceans, but lie well below optimal reef production (5–10kg CaCO3m−2yr−1) and below maxima recently recorded in remote high coral cover reef sites. However, the erosive forces observed in the Red Sea nearshore reef contributed less than observed elsewhere. A higher TA accompanied reef growth across the shelf gradient, whereas stronger diurnal pH fluctuations were associated with negative carbonate budgets. Noteworthy for this oligotrophic region was the positive effect of phosphate, which is a central micronutrient for reef building corals. While parrotfish contributed substantially to bioerosion, our dataset also highlights coralline algae as important local reef builders. Altogether, our study establishes a baseline for reef growth in the central Red Sea that should be useful in assessing trajectories of reef growth capacity under current and future ocean scenarios.
Ireland Carbon Budget Paris Test: Reanalysis dataset
<p>Re-analysis workbook(s) supporting results presented in "Defining a "Paris Test" of National Contribution to Global Climate Mitigation: the Irish Exemplar", McMullin et al, ERL Perspective (in review). This version includes an update of the IE-CCAC-PT-Scenario-Extra-Charts workbook to extend the chart of mass CH4 emissions back to show the pre-scenario historical period 2001-2020 (as, under GWP* with Δt=20, these affect the GWP* annual emissions over the scenario period of 2021-2040).</p>
Combined CH4, N2O and CO2 fluxes budgets reveal a net carbon sink across a glacier-ocean continuum
<p>This dataset is supplument to a manuscript "Meltwater impacts CH4 and N2O fluxes across a glacier-ocean interface". </p> <p>Dataset includes </p> <ul> <li>timeseries.xlsx <ul> <li>A timeseries dataset conducted at Jökulsárlón Lagoon in Iceland. It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, water flow and environmental variables. </li> </ul> </li> <li>discrete_v3.xlsx <ul> <li>Discrete samples conducted around Jökulsárlón Lagoon in Iceland It includes CH<sub>4</sub> and N<sub>2</sub>O concentration, nutrient. </li> <li>Add lat and lon (updated: 20 Nov 2024) </li> </ul> </li> </ul>
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>
Data for the publication "The carbon and nitrogen budget of <i>Desmophyllum dianthus</i> – a voracious cold-water coral thriving in an acidified Patagonian fjord"
<p>Raw and supplementary data and detailed statistical results for the publication "The carbon and nitrogen budget of <em>Desmophyllum dianthus</em> – a voracious cold-water coral thriving in an acidified Patagonian fjord" </p>
Supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023
<p>This is the supplementary materials for the article: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023</p> <p>This folder contains:</p> <p>MLD.mat<br> - The annual maximum of monthly-averaged mixed layer depth (m) in ECCO:<br> 1992-2001 mean (data retrieved from ECCO Consortium et al., 2023). The mixed layer<br> depth is determined by the depth where waters are first 0.8◦ C colder than the surface, as<br> per the Kara Formula (Kara et al., 2000)</p> <p>FBGC3mm.mat<br> - Sinking detrital flux [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>FBGC4mm.mat<br> - Detritus removal via remineralisation and denitrification [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>FBGC7mm.mat<br> - Detritus creation [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>DETmm.mat<br> - Sinking Detritus [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), monthly average</p> <p>NPP.mat<br> - Primary production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average</p> <p>export.mat <br> - Export production [mmol P/m3/d], produced by MOPS (Kriest et al., 2015), annual average</p> <p>grid.mat<br> - model grid information for ECCO transport matrix (see Khatiwala, S. (2018): https://zenodo.org/record/1246300<br> 463doi: 10.5281/ZENODO.1246300)</p> <p>cmap5.mat<br> - matlab colormap </p> <p>bluewhitered.mat <br> - matlab colormap </p> <p>cmap12.mat<br> - matlab colormap</p> <p>PlotPaperFigures.m<br> - matlab script for plotting journal paper figures for "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al., 2023</p> <p>findClosest.m<br> - matlab script to find the closest value in a list of values to a specified value</p>
Data from: Coral reef carbonate budgets and ecological drivers in the central Red Sea – a naturally high temperature and high total alkalinity environment
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Comprehensive result data for a pathway for the German energy sector compatible with a 1.5°C carbon budget
<p>This data set covers the results of an energy scenario for Germany within a 1.5°C carbon budget. It represents all relevant results from an energ system modelling excersise, coupling two complementary models.</p> <p>The data set consists of two excel files</p> <ul> <li>Comprehensive results of the energy balance based Energy System Model (ESM) for the heat, transport and power sectors for Germany, disaggregated by consumption sectors (residential, service & commerce, industry, transport)</li> <li>Comprehensive results of the linear optimization energy system model REMix for power, heat and sector coupling</li> </ul> <p>Methodology, models and scenario assumption are detailed in:</p> <p>Simon, S., Xiao, M., Harpprecht, C., Pregger, T., Gardian, H., & Sasanpour, S. (submitted). A pathway for the German energy sector compatible with a 1.5°C carbon budget. <em>Sustainability</em>.</p>
Supplementary materials: "Where and when the mesopelagic carbon budget balances, if at all", Oliver et al.
<div>Data Supplement to "Where and when the mesopelagic carbon budget balances, if at all"</div> <div>Sophy Oliver(1), Andrew Yool(1), Stephanie A. Henson(1), Adrian P. Martin(1)</div> <div>1 National Oceanography Centre, Southampton SO14 3ZH, UK</div> <div>Corresponding author: Sophy Oliver, sophy.oliver@noc.ac.uk</div> <div> </div> <div>This data supplement contains results using the MOPS biogeochemical model (Kriest et al. 2015).</div> <div> </div> <div>-> Model_ep_npp_MLD (MATLAB files required to create Figure S1 and S10)</div> <div>-> NPP.mat: MOPS annually-averaged net primary production [mmol P / m3 / d]</div> <div>-> EP.mat: MOPS annually-averaged export production [mmol P / m3 / d]</div> <div>-> MLDinterp.mat: annual maximum of monthly-averaged mixed layer depth [m] in ECCO: 1992-2001 mean (Fukumori et al. 2023). The mixed layer depth is determined by the depth where waters are first 0.8°C colder than the near-surface, as per the Kara Formula (Kara, Rochford, and Hurlburt 2000).</div> <div>-> DOPAVG.mat: MOPS monthly-averaged dissolved organic phosphate (DOP) [mmol P / m3]</div> <div> </div> <div>-> Model_Budget_Components (MATLAB files required to create Figures 1 and S2-9)</div> <div>-> Flux.mat: Monthly-averaged particulate flux sinking into the top of each depth level [mmol P / m2 / d]. Note that depth level 1 corresponds to flux to the sea floor (burial).</div> <div>-> Drem.mat: Monthly-averaged remineralisation and denitrification of particulate matter [mmol P / m3 / d]</div> <div>-> DOPnew.mat: Monthly-averaged creation of dissolved organic phosphate by dying plankton [mmol P / m3 / d] </div> <div>-> DOPrem.mat: Monthly-averaged remineralisation and denitrification of dissolved organic phosphate [mmol P / m3 / d]</div> <div>-> det_vt.mat: Monthly-averaged change in particulate organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div>-> det_ht.mat: Monthly-averaged change in particulate organic phosphate after horizontal transport is applied [mmol P / m3 / d]</div> <div>-> dop_vt.mat: Monthly-averaged change in dissolved organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div>-> dop_ht.mat: Monthly-averaged change in dissolved organic phosphate after vertical transport is applied [mmol P / m3 / d]</div> <div> </div> <div>-> Code_Analysis_Plotting</div> <div>-> plot_npp.m: MATLAB script to plot Figure S1 of the supplementary figures of MOPS net primary and export production, and ECCO mixed layer depth.</div> <div>-> meso_monthly_budget.m: MATLAB script to calculate and plot the global seasonal mesopelagic organic carbon budget and its components (Figures 1 and S2-9 and S11).</div> <div>-> plot_doc.m: MATLAB script to plot Figure S10 of the supplementary figures of MOPS annually averaged DOC [µmol C kg-1] at 15m, 310m, and 610m depth.</div> <div>-> bluewhitered.mat: MATLAB colorscale.</div> <div> </div> <div>Model grid information for MITgcm_ECCO can be found here: http://kelvin.earth.ox.ac.uk/spk/Research/TMM/TransportMatrixConfigs/ (Samar Khatiwala, University of Oxford).</div> <div> </div>
LUH2-GCB2019: Land-Use Harmonization 2 Update for the Global Carbon Budget, 850-2019
This dataset, referred to as LUH2-GCB2019, includes 0.25-degree gridded, global maps of fractional land-use states, transitions, and management practices for the period 0850-2019. The LUH2-GCB2019 dataset is an update to the previous Land-Use Harmonization Version 2 (LUH2-GCB) datasets prepared as required input to land models in the annual Global Carbon Budget (GCB) assessments, including land-use change data relating to agricultural expansion, deforestation, wood harvesting, shifting cultivation, afforestation, and crop rotations. Compared with previous LUH2-GCB datasets, the LUH2-GCB2019 takes advantage of new data inputs that corrected cropland and grazing areas in the globally important region of Brazil, as far back as 1950. LUH2-GCB datasets are used by bookkeeping models and Dynamic Global Vegetation Models (DGVMs) for the GCB.
CARVE: Net Ecosystem CO2 Exchange and Regional Carbon Budgets for Alaska, 2012-2014
This data set provides estimates of 3-hourly net ecosystem CO2 exchange (NEE) at 0.5-degree resolution over the state of Alaska for 2012-2014. The NEE estimates are the output are from Geostatistical Inverse Modeling of a subset of CARVE aircraft CO2 data, WRF-STILT footprints, and PVPRM-SIF data from flux towers (CRV: located in Fox, AK and BRW: located just outside Barrow, AK). Daily mean NEE is also provided as calculated for all of Alaska and for four sub-regions (0.5-degree resolution) that were defined across Alaska, based on general landcover type: North Slope Tundra, South and West Tundra, Boreal Forests, and Mixed (all other). Also provided are derived annual carbon budgets for (1) all of Alaska with defined contributions from biogenic, fossil fuel, and biomass burning sources and (2) annual biogenic carbon budgets for the four landcover-type regions of Alaska. Provided for completeness are the CARVE aircraft atmospheric measurement data used in estimating NEE.
Dataset of monthly mean and annual carbon budget at Takayama in a cool-temperate deciduous forest in central Japan from 1994 to 2021
<p>This dataset contains monthly mean and annual net ecosystem production (NEP), gross primary production (GPP) and ecosystem respiration (Rec) estimated from the carbon dioxide (CO<sub>2</sub>) flux measurement at Takayama (36°09’N, 137°25’E, 1420 m a.s.l.) in a cool-temperate deciduous forest in central Japan from 1994 to 2021. The CO<sub>2</sub> flux measurements were initially obtained by aerodynamic method beginning in September 1993, replaced by eddy covariance method in July 1998. This dataset was used in the manuscript “Interannual variation and trend of carbon budget observed over a 28-year period at Takayama in a cool-temperate deciduous forest in central Japan”, to be submitted to a scientific journal for publication.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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