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354 results for “Budget”
Data for Greenhouse gas budgets of Central and West Asia (2000-2020)
<p>The data and code provided are utilized to support the conclusions of "Greenhouse gas budgets of Central and West Asia (2000-2020): A significant net source to the atmosphere." The dataset comprises the processed ensemble mean values at both national and regional scales. Please note that in the dataset, "TD_total" represents the inversion fluxes for each GHG, "NBP" represents the NBP fluxes from TRENDY, "Wetland_ch4" represents the wetland CH4 emission estimates from Terrestrial Biosphere Models in the Global Methane Budget, and "Soil_n2o" represents the soil N2O emissions as estimated by NMIP2 models. More detailed information about the meaning and data sources of each sector and subsector can be found in the Methods section of the manuscript and in Supplementary Information S1.</p>
Assessing the longwave components of the Earth's radiation budget from modeling and observational perspectives - coarse resolution datasets
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Molecular gas budget of strongly magnified low-mass star-forming galaxies at cosmic noon Appendix
<p>Appendix of the article Molecular gas budget of strongly magnified low-mass star-forming galaxies at cosmic noon by V. Catán et al.</p>
Velocity, density and energy budget statistics from the article: Validation and application of the lattice Boltzmann algorithm for a turbulent immiscible Rayleigh-Taylor system
<p>We develop a multicomponent lattice Boltzmann (LB) model for the 2D Rayleigh--Taylor turbulence with a Shan-Chen pseudopotential implemented on GPUs. Accuracy of the LB model is tested both for early and late stages of instability. For the developed turbulent motion we analyze the balance between different terms describing variations of the kinetic and potential energies. Then, we analyze the role of interface in the energy balance, and also the effects of the vorticity induced by the interface in the energy dissipation. Statistical properties are compared for miscible and immiscible flows.</p> <p>In this Dataset, we have included the files for the statistics of the energy budget for the miscible and immiscible Rayleigh-Taylor flows studied in the referred article.</p> <p>We also included the examples of the density and velocity fields showed in the Figures 1 and 2 of the article.</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>
Global Sea Level Budget Assessment by World Climate Research Programme
<p>Global mean sea level is an integral of changes occurring in the climate system in response to unforced climate variability as well as natural and anthropogenic forcing factors. Its temporal evolution allows detecting changes (e.g., acceleration) in one or more components. Study of the sea level budget provides constraints on missing or poorly known contributions, such as the unsurveyed deep ocean or the still uncertain land water component. In the context of the World Climate Research Programme Grand Challenge entitled “Regional Sea Level and Coastal Impacts”, an international effort involving the sea level community worldwide has been recently initiated with the objective of assessing the various data sets used to estimate components of the sea level budget during the altimetry era (1993 to present). These data sets are based on the combination of a broad range of space-based and in situ observations, model estimates and algorithms. Evaluating their quality, quantifying uncertainties and identifying sources of discrepancies between component estimates is extremely useful for various applications in climate research. This effort involves several tens of scientists from about sixty research teams/institutions worldwide (www.wcrp-climate.org/grand-challenges/gc-sea-level). The results presented in this paper are a synthesis of the first assessment performed during 2017-2018. We present estimates of the altimetry-based global mean sea level (average rate of 3.1 +/- 0.3 mm/yr and acceleration of 0.1 mm/yr2 over 1993-present), as well as of the different components of the sea level budget. We further examine closure of the sea level budget, comparing the observed global mean sea level with the sum of components. Ocean thermal expansion, glaciers, Greenland and Antarctica contribute by 42%, 21%, 15% and 8% to the global mean sea level over the 1993-present. We also study the sea level budget over 2005-present, using GRACE-based ocean mass estimates instead of sum of individual mass components. Results show closure of the sea level budget within 0.3 mm/yr. Substantial uncertainty remains for the land water storage component, as shown in examining individual mass contributions to sea level.</p>
The salinity budget of the Ross Sea continental shelf, Antarctica
<p>This dataset includes the model data used in our paper entitled 'The salinity budget of the Ross Sea continental shelf, Antarctica'.</p>
Micro data from the Greek Household Budget Survey on energy consumption
<p>The dataset is the end product of compiling a number of datasets from the Greek Household Budget Survey, covering 13 years between 2004 and 2020. The variables included are basic socio-economic, demographic and housing characteristics, along with quantity and cost data of household energy sources.</p>
Supplementary Data for "The Phosphorus Budget of the Silicate Earth Based on an Updated Estimate of the P/Nd Ratio" in JGR-Solid Earth.
<p>Supplementary data tables for Ma et al. (2023) associated with the paper entitled "The Phosphorus Budget of the Silicate Earth Based on an Updated Estimate of the P/Nd Ratio" published in <em>JGR-Solid Earth</em>.</p>
Data and code for: "Annual mass budget of Antarctic ice shelves from 1997 to 2021"
<p>All code required to reproduce the results presented in Davison et al. Annual mass budget of Antarctic ice shelves from 1997 to 2021. Also provided are the ice shelf masks and 1000x1000 m basal melt rates.</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>
Supplementary Material - PhD Thesis - "Unravelling the heat budget of the Lepontine dome: interdisciplinary geological, petrological, thermodynamic and geochronological study of shear zones"
<p>Supplementary material of the PhD thesis titled:<br> "<strong>Unravelling the heat budget of the Lepontine dome: interdisciplinary geological, petrological, thermodynamic and geochronological study of shear zones</strong>" by <em>Alessia Tagliaferri</em> (2023)</p> <p>Content: Excel table datasets, Matlab codes, figures, movies.</p> <p> </p>
Understanding and mitigating resistive losses in fired passivating contacts: role of the interfaces and optimization of the thermal budget
<p>We study p-type passivating contacts based on SiC<sub>x</sub> formed via a rapid thermal processing step, using conditions compatible with the firing used to sinter screen-printed metallization pastes in industry. Firstly, we separate the contributions of the two interfaces to the contact resistivity (wafer/contact and contact/metal), identifying tunnelling at the wafer interface as the main contribution. We then investigate the dependence of contact resistivity and sheet resistance of the SiC<sub>x</sub> layer on the concentration of active dopants and we propose strategies to reduce both resistances by increasing the thermal budget applied during firing. Lastly, we discuss potentials and limitations of implementing the investigated stacks as rear side contacts of p-type devices with localized metallization, and we show that an oxide layer that can withstand high thermal budgets is the key factor for obtaining high passivation quality and good electrical properties at the same time. The results obtained with an oxide based on N<sub>2</sub>O plasma oxidation show that this layer is a promising candidate for such an application.</p>
Dataset accompanying the publication: Reservoir mud releasing may suboptimize fluvial sand supply to coastal sediment budget: Modeling the impact of Shihmen Reservoir case on Tamsui River estuary
<p>Delft3D model input and output files for scenario simulations (Scenario 1, Scenario 2, and Scenario 3)</p>
The Effectiveness, Cost-effectiveness, and Budget Impact of Interventions to Improve the Delivery of Cervical Cancer Screening in Puerto Rico.
ClinicalTrials.gov study NCT06943547. IPD Sharing: YES. Countries: 1. Publications: 1.
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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Velocity, density and energy budget statistics from the article: Validation and application of the lattice Boltzmann algorithm for a turbulent immiscible Rayleigh-Taylor system
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Data from: Regulation of reproductive processes with Dynamic Energy Budgets
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Data from: Too hot to die? The effects of vegetation shading on past, present, and future activity budgets of two diurnal skinks from arid Australia
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Data from: Accelerometers can measure total and activity-specific energy expenditure in free-ranging marine mammals only if linked to time-activity budgets
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.