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4,230 results for “Energie”
Dataset for "Convex modeling of pumps in order to optimize their energy use" article
<p>This is the data set about pump optimization used in the submitted article "Convex modeling of pumps in order to optimize their energy use" . The proposed optimization method is shown, and also the two methods to which it is compared to.</p> <p> </p>
Rapidly falling costs of renewables - Are energy scenarios lagging behind? (dataset)
<p>Raw data for the working paper "Rapidly falling costs of renewables - Are energy scenarios lagging behind?"</p>
``HiPen'': a new dataset for validating (S)QM/MM free energy simulations
<p>Calculating free energy differences between levels of theory (i.e., <span class="math-tex">\(\Delta A^{low \to high}\)</span>) is integral to performing indirect (S)QM/MM free energy simulations. However, connecting levels of theory via free energy simulations has proved difficult due to (1) bond/angle degrees of freedom, (2) dihedral degrees of freedom, and (3) solvent arrangement differences between levels of theory, largely due to partial charge differences between levels of theory. In order to improve calculation of (S)QM/MM free energy simulations, the free energy simulation community should begin to compare methods based on convergence success relative to overall computational time and resource requirements. We have begun to compile such a dataset by calculating <span class="math-tex">\(\Delta A^{MM \to SCC-DFTB}\)</span> in gas phase for 22 drug-like molecules, as seen in our recent publication, Kearns, et al. <strong>2018</strong>, <em>Molecules</em>, Submitted, and we hope that future practitioners will do the same. With this work we hope to provide a standard for comparison for future FES methodologies; additionally, in the near future we hope to continue to add to this dataset including results in more complicated environments such as in solution and in enzyme. All data can be found in our publication and in the accompanying Supporting Information; raw data (such as simulation trajectories and raw data files) can be made available upon request. The purpose of this dataset publication is to make available all starting coordinates, topologies, parameter sets, and input files necessary to replicating the results published in our work.</p>
Data for the Eastern African power pool's energy systems model, developed in OSeMOSYS
<p>This repository consists of the following datasets</p> <p>1. EAPP_reference scenario_datafile.DD- This dataset is a model file that needs to be used with the code available in this <a href="https://github.com/KTH-dESA/OSeMOSYS/blob/master/OSeMOSYS_GNU_MathProg/osemosys_short.txt">GitHub</a> link. This data file (in concurrence with the OSeMOSYS code) can be used to create a linear programming file (LP file) to be solved using any mathematical optimisation solver like GLPSOL/C-PLEX/GUROBI/CBC.</p> <p>2. Main article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the main article.</p> <p>3. Supplementary article_EAPP_data for figures.xlsx- This excel file contains the base data used to illustrate the figures in the supplementary article.</p>
Energy Consumption Estimation of API-usage in Smartphone Apps via Static Analysis
<p>OPEN CALL FOR COLLECTING ENERGY PROFILES @ <a href="https://github.com/AbdulAli/replication-kit-msr-2023">https://github.com/AbdulAli/replication-kit-msr-2023</a></p> <p>Cite this work as:</p> <p>@inproceedings{bangash2023msr,<br> title={Energy Consumption Estimation of API-usage in Mobile Apps via Static Analysis},<br> author={Bangash, Abdul Ali and Jamal, Qasim and Eng, Kalvin and Ali, Karim and Hindle, Abram},<br> booktitle={2023 20th International Conference on Mining Software Repositories (MSR)},<br> pages={5721--5730},<br> year={2023},<br> organization={IEEE}<br> }</p> <p>This is the replication-kit of the paper published at MSR 2023.</p> <p>It includes:</p> <ul> <li>SQLite operations' benchmarks</li> <li>SQLite benchmarks' energy profiles</li> <li>The E-Factor Calculation program</li> </ul>
Energy-related CO2 Emission Accounts and Datasets for 40 Emerging Economies in 2010 - 2019
<p>The Carbon Emission Accounts and Datasets for emerging economies (CEADs, <a href="https://ceads.net">https://ceads.net</a>) aims to provide transparent, verifiable, open-access data on the CO<sub>2</sub> emissions of 40 emerging economies (accounting for 17.5% of the emissions and 12.9% of GDP of the world) for the period 2010-2019. Given the variety of statistical capacity among these countries, we standardized sectors using relevant data on energy and economic statistics and compiled emissions inventories at the regional level using sub-national statistics. For energy-related data, we included emissions from burning biomass, given its significance as an emissions source in these economies. The emissions dataset covers 47 economic sectors and 8 major energy categories in the 40 emerging economies, and in 28 we provide a subnational inventory. The emissions inventories are compiled for 47 economic sectors and 8 major categories.</p>
Elevated energy costs of biomass production in mitochondrial-respiration deficient Saccharomyces cerevisiae
<p>The <em>pcYeast8</em> model and data, required to reproduce the figures in the preprint "Elevated energy costs of biomass production in mitochondrial-respiration deficient <em>Saccharomyces cerevisiae</em>". Data bundle uploaded by Pranas Grigaitis, p.grigaitis [at] vu.nl.</p> <p><em>Abstract</em></p> <p>Microbial growth requires energy for maintaining the existing cells and producing components for the new ones. Microbes therefore invest a considerable amount of their resources into proteins needed for energy harvesting. Growth in different environments is associated with different energy demands for growth of yeast <em>Saccharomyces cerevisiae</em>, although the cross-condition differences remain poorly characterized. Furthermore, a direct comparison of the energy costs for the biosynthesis of the new biomass across conditions is not feasible experimentally; computational models, on the contrary, allow comparing the optimal metabolic strategies and quantify the respective costs of energy and nutrients. Thus in this study, we used a resource allocation model of <em>S. cerevisiae</em> to compare the optimal metabolic strategies between different conditions. We found that <em>S. cerevisiae</em> with respiratory-impaired mitochondria required additional energetic investments for growth, while growth on amino acid-rich media was not affected. Amino acid supplementation in anaerobic conditions also was predicted to rescue the growth reduction in mitochondrial respiratory shuttle-deficient mutants of <em>S. cerevisiae</em>. Collectively, these results point to elevated costs of resolving the redox imbalance caused by <em>de novo</em> biosynthesis of amino acids in mitochondria. To sum up, our study provides an example of how resource allocation modeling can be used to address and suggest explanations to open questions in microbial physiology.</p>
Grey model analysis of vehicle population, road transport energy consumption, and vehicular emissions
<p>The files provide additional information to the paper “Grey model analysis of vehicle population, road transport energy consumption, and vehicular emissions". The supporting data file contains excel sheets of data used in the analysis, and the supporting information file provides some assumptions, background information and other results not included in the paper</p>
Potential energy surface and rovibrational line list for H2CS
<p>Molpro restart file (ASCII) for the XSURF program of the potential energy and dipole moment surfaces of H2CS. Line list (ASCII) for H2CS obtained from RVCI calculations. Data refer to the publication "Convergence of series expansions in rovibrational configuration interaction (RVCI) calculations" (<a href="https://doi.org/10.1063/5.0129828">https://doi.org/10.1063/5.0129828</a>).</p>
Variable Geometry Turbines Industrialization for a Circular Economy of Distributed Wind Energy
<p>In this work we present a novel VAWT with passive variable geometry (PVG), which combines variable radius and variable pitch of the free blades. The turbine was optimized through extensive numerical simulations, with a final design featuring short start-up time, high steady-state efficiency, low construction complexity, and low material costs. A crucial reduction of nearly 50% in the blades' mass was obtained through the use of compression moulded composites. A full-scale physical prototype was tested in a dedicated wind tunnel facility, where the typical intermittent air flow of the UBL was replicated. The turbine was connected to standard power electronics found in the solar photovoltaic market. The measured electrical power output closely matches the numerical simulations, suggesting that our PVG design can achieve a 64% increase in the capacity factor compared to a fixed-geometry turbine. Thanks to this engineering breakthrough we believe that, for the first time, wind installations in the UBL can be competitive on the energy market. We conclude our contribution by discussing industrialization and sustainability aspects of our PVG-VAWT technology, and by projecting a deployment scenario towards the uptake of a distributed urban wind market.</p>
Energy extraction from air: structural basis of atmospheric hydrogen oxidation
<p>MD simulation trajectories of HucSL dimer including wild-type and mutant proteins(E15A+I64A; I64A+L112A; E15A+I64A+L112A) in the presence of excess hydrogen and oxygen molecules. Preprint with details of the simulations and results can be found here: https://doi.org/10.1101/2022.10.09.511488.</p>
Large-area periodically-poled lithium niobate wafer stacks optimized for high-energy narrowband terahertz generation - Dataset
<p>Dataset for the publication "Large-area periodically-poled lithium niobate wafer stacks optimized for high-energy narrowband terahertz generation".</p>
Electron energy loss spectroscopy (EELS) and energy dispersive spectroscopy (EDS) data from two pyroxene grains from Apollo 17 soil 71501
<p>This dataset contains hyperspectral EELS and EDS data for two pyroxene grains from Apollo 17 soil 71501 as well as iron oxidation state standards used in the original article "Detection of ferric iron in an exsolved lunar pyroxene using electron energy loss spectroscopy (EELS): Implications for space weathering and redox conditions on the Moon" by Brittany Cymes, Katherine Burgess, and Rhonda Stroud. (doi: 10.1111/maps.13941). The purpose of this dataset is to document chemical characteristics of lunar pyroxenes that can be used to interpret conditions of formation and evaluate chemical changes resultant from the process of space weathering.</p>
Dataset supporting publication: 'GEOFIT: Ground source heat pump systems for energy efficient building retrofitting'
<p>Dataset supporting publication: Presentation of GEOFIT at the <a href="https://www.hp-summit.de/en">European Heat Pump Summit</a> (2019) </p> <p>Available for download: <a href="https://zenodo.org/record/3901527">GEOFIT Zenodo</a></p> <p>The integration of geothermal systems for heating / cooling solutions in conjunction with heat pump technology is a major challenge, particularly in the case of renovation. In order to find the best solution for the increased flow temperatures compared to a new building for the renovation, various heat pump configurations are evaluated according to energy and economic criteria. A refrigerant with low greenhouse gas potential (GWP) is used as the working medium, e.g. R1234ze (E)) less than 10 used. A favorable refrigeration circuit configuration for high flow temperatures is a twin-circuit system, which essentially consists of two heat pumps with different condensing temperatures and the same evaporation temperatures. An alternative to this is a single-stage configuration with a significantly larger condenser for improved supercooling. Both systems should enable efficient operation when renovating buildings.</p>
Data for LEELO-LA (Long-term Energy Expansion Linear Optimization - Latin America)
<p>This repository contains the data for LEELO-LA (Long-term Energy Expansion Linear Optimization - Latin America)</p>
Simulation and calculation data for the Lorenz energy cycle
<p>The data are for the article "Lorenz Energy Cycle: Another Way to Understand the Atmospheric Circulation on Tidally Locked Terrestrial Planets". The data are simulated by the general circulation model ExoCAM. The horizontal resolution is 4<span>°x5°.</span></p> <p><strong><span>Note: ST: in standard coordinates; TL: in the tidally locked coordinates.</span></strong></p> <ol> <li><span>The simulation data is daily-mean (i.e., '<strong>*.daily.nc</strong>'), including: </span><strong>ST_5d_tidally_locked.cam.daily.nc, ST_60d_tidally_locked.cam.daily.nc </strong>(in the standard coordinates), and <strong>TL_60d_tidally_locked.cam.daily.nc</strong> (in the tidally locked coordinates). </li> <li>The LEC data are calculated by the LEC code released at <em>https://doi.org/10.5281/zenodo.7472396</em>, including:</li> </ol> <ul> <li>Earth: <strong>LEC_energy.1979-*.nc</strong> and <strong>LEC_converse_rate.1979-*.nc</strong></li> <li>Rapidly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_5d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_5d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in tidally locked coordinates): <strong>TL_LEC_energy_60d_tidally_locked.nc</strong> and <strong>TL_LEC_conv-rate_60d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_60d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_60d_tidally_locked.nc</strong> </li> </ul> <p> </p> <p> </p>
Micro data from the 2012 Greek Household Energy Consumption survey
<p>The dataset is a cleaned and modified version of the microdata from the 2012 Greek Household Energy Consumption survey</p>
Linearly and Nonlinearly Implicit Schemes for Energy-Stable Simulation of String Vibrations with Collisions: Refinement, Analysis, and Comparison
<p>Sound examples accompanying the manuscript submitted to the Journal of Sound and Vibration</p>
Implications of large binding energies of massive stripped core collapse supernova progenitors on the explosion mechanism
<p>Inlist files (r15140) used for the creation of the core-collapse progenitor models in the paper "The implications of large binding energies of massive, stripped, core-collapse supernova progenitors on the explosion mechanism". Based on the ‘20M pre ms to core collapse’ example from MESA r22.05, adapted for use in r15140, and include several variations as detailed in the paper appendix A. See README.txt for running details and example script.</p> <p>Also included are the full simulation list and the profiles of the 52 simulated cases, including the pre-collapse profiles at the point of termination for the 27 models that reached collapse. Profiles are at central oxygen depletion (5% abundance at center), central silicon depletion (5% abundance at center) and collapse, as defined in the paper.</p>
Potential energy surfaces and rovibrational line lists for propynal
<p>Molpro restart file (ASCII) for the XSURF program of the potential energy and dipole moment surfaces of propynal. Line list (ASCII) for propynal obtained from RVCI calculations. Data refer to the publication "A theoretical study of propynal under interstellar conditions and beyond, covering low frequency infrared spectra, spectroscopic constants and hot bands" (<a href="https://doi.org/10.1093/mnras/stad251">https://doi.org/10.1093/mnras/stad251</a> ).</p>
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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)
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.