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4,230 results for “Energie”
Less is More: Exploiting the Standard Compiler Optimization Levels for Better Performance and Energy Consumption
<p>The data used to generate the graphs in Figures 2 and 3 of the paper "Less is More: Exploiting the Standard Compiler Optimization Levels for Better Performance and Energy Consumption" at SCOPES'18. The data includes power consumption, code size, and running time, indexed by an ID that identifies the combination of compiler options. Data is stored in a CSV file that identifies the specific benchmark, organized into a zip file that identifies the chip architecture.</p> <p>See README.txt for details.</p>
Investigation of Azo-COP-2 as a photo-responsive low-energy CO2 adsorbent and porous filler in mixed matrix membranes for CO2/N2 separation
<p>Dataset supporting publication. All raw data for figures is included in the Excel file, and the full high-resolution SEM images are included in this repository.</p> <p>A preprint of the manuscript is available from <a href="https://doi.org/10.26434/chemrxiv.7593902">https://doi.org/10.26434/chemrxiv.7593902</a> </p> <p>The published paper is: Siyao Li, Nicholaus Prasetya, and Bradley P Ladewig, <em>Ind. Eng. Chem. Res.</em>, Just Accepted Manuscript<br> DOI: <a href="https://doi.org/10.1021/acs.iecr.9b00762">https://doi.org/10.1021/acs.iecr.9b00762</a></p>
Data set used in the Article "Evaluation of Monte Carlo tools for high-energy atmospheric physics II: relativistic runaway electron avalanches"
<p>Data used for the Relativistic Runaway Electron Avalanches (RREA) simulations of the Article : "Evaluation of Monte Carlo tools for high energy atmospheric physics II: relativistic runaway electron avalanches" by D. Sarria et al.</p> <p>Includes two set of results : The Probability of Generating RREAs, and the Characterizations of RREAs.</p> <p>Link to the article : <a href="https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html">https://www.geosci-model-dev.net/11/4515/2018/gmd-11-4515-2018.html</a></p> <p>DOI of the article: 10.5194/gmd-2018-119</p>
Predictive simulations of ionization energies of solvated halide ions with relativistic embedded Equation of Motion Coupled-Cluster Theory: Dataset
<p>This dataset collects the unprocessed (= outputs from calculations) and processed (= plots, average values for ionization energies) results discussed in the paper titled "Predictive simulations of ionization energies of solvated halide ions with relativistic embedded Equation of Motion Coupled-Cluster Theory", by Yassine Bouchafra, Avijit Shee, Florent Réal, Valérie Vallet and André Severo Pereira Gomes.</p> <p>In each archive file there is a README explaining how to use the bundled scripts to process the data.</p>
Hit Expansion using Substructure Search, Virtual Screening & Free Energy Perturbation
<p>Identification of commercially available chemical analogs of primary hits previously crystallized in complex with the zinc finger ubiquitin binding domain (Zf-UBD) of USP5 and prioritization of chemical analogues by free energy perturbation (FEP). </p>
Solar Energy
<p>This data set is composed of three parts each having its proper origins, formats and rights. This data set was used for a local contest where students were asked to propose new applications for helping decision makers to decide on where to implant solar systems.</p>
Supplemental Material: Consolidating the concept of low-energy magnetic dipole decay radiation
<p>This record consists of all shell model calculation results used in Midtbø <em>et al</em>., <em>Consolidating the picture of low-energy magnetic dipole decay radiation, </em>Phys. Rev. C (2018, accepted), arXiv:1807.04036 [nucl-th].</p> <p>All calculations are performed using KSHELL (arXiv:1310.5431 [nucl-th]). For details on our calculations we refer to our article.</p>
An Insight on the Effect of Azobenzene Functionalities Studied in UiO-66 Framework for Low Energy CO2 Capture and CO2/N2 Membrane Separation
<p>Data supporting journal manuscript. Includes an Excel spreadsheet with all the raw data for the figures in the manuscript, calibrations and calculations. Also includes 3D chemical structures of MOF units, and SEM images of MOF/polymer composite materials.</p> <p><strong>Abstract</strong></p> <p>In this paper, we report a simple approach to study the fundamental aspect of light-responsive metal organic framework (MOF) in UiO-66 topology through a mixed-ligand approach. Apart from change in the structural property, the loading of azobenzene linker inside the framework also affects the CO<sub>2 </sub>light-responsive property and CO<sub>2</sub>/N<sub>2 </sub>selectivity which could help to design future low-energy CO<sub>2 </sub>adsorbents. Further study to incorporate the MOFs into mixed matrix membranes also indicates the benefit of higher azobenzene loading in the MOF to enhance the CO<sub>2</sub>/N<sub>2 </sub>separation performance since it can improve the separation performance which could not be obtained in non-functionalized fillers. </p> <p><strong>Preprint manuscript</strong></p> <p>A Preprint version of the manuscript is available at: <a href="https://doi.org/10.26434/chemrxiv.7568696.v1">https://doi.org/10.26434/chemrxiv.7568696.v1</a> </p> <p><strong>Published article</strong></p> <p>Journal of Materials Chemistry A, 2019, DOI: <a href="https://doi.org/10.1039/C9TA02096A">https://doi.org/10.1039/C9TA02096A</a></p>
In-house high energy remote SAD-phasing using the magic triangle: how to tackle the P1 low symmetry using multiple orientations on the same human IBA57 crystal to increase multiplicity.
<p>The dataset named IBA57-I3C.zip contains pck diffraction images of 9 runs (orientations) of a human IBA57 crystal soaked with 5-amino-2,4,6-triiodoisophthalic acid (I3C) collected on an in-house source. Multiple orientations (runs) of the very same triclinic crystal have been exploited to acquire sufficient real data multiplicity for SAD-phasing. Each folder named run* contains the pck images and the relevant XDS.INP file for processing. The file runs.txt in the top directory gives the phi, kappa, omega and theta details on each of the 9 runs.</p> <p>The dataset named IBA57-native.zip contains pck images of 1 run (360 images around phi only) of a native human IBA57 crystal collected on the same in-house source and the relevant XDS.INP file for processing; this dataset is needed for SIRAS along with the I3C dataset.</p> <p> </p>
HOLO Dataset - Energy Landscape of the Domain Movement in Staphylococcus aureus UDP-N-acetylglucosamine 2-epimerase
<p>Results of the Molecular Dynamic simulations performed for the paper entitled "Energy Landscape of the Domain Movement in Staphylococcus aureus UDP-N-acetylglucosamine 2-epimerase". The trajectories and the prmtop file here are without the solvent and ions.</p>
APO Dataset - Energy Landscape of the Domain Movement in Staphylococcus aureus UDP-N-acetylglucosamine 2-epimerase
<p>Results of the Molecular Dynamic simulations performed for the paper entitled "Energy Landscape of the Domain Movement in Staphylococcus aureus UDP-N-acetylglucosamine 2-epimerase". The trajectories and the prmtop file here are without the solvent and ions.</p>
Participant observation data from local, storytelling, multi-stakeholder energy policy workshops
<p>The SHAPE ENERGY (EU Horizon 2020) undertook 17 multi-stakeholder energy policy workshops over November 2017 – May 2018. These workshops were mostly in partnership with municipalities who posed local energy problems that needed to be ‘solved’. The workshops brought local stakeholders together through storytelling facilitation techniques. The included data herein are anonymised components of the completed participant observation templates that partners used at these workshops. In particular, the data predominately relates to the conversational exchanges in one very closely monitored session across all the workshops.</p>
Analysis of a solar-based energy transition in Greece
<p>These datasets contain the underlying data for the following publication: <strong>Barriers to and consequences of a solar-based energy transition in Greece, Environmental Innovation and Societal Transitions, https://doi.org/10.1016/j.eist.2018.12.004.</strong></p>
Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization
<p>Data for the Wind Energy Science paper "Polynomial chaos to efficiently compute the annual energy production in wind farm layout optimization".</p> <p>The data includes a file describing the wind direction distribution. The i<sup>th</sup> probability value corresponds to the probability of the wind coming between direction i and i+1.</p> <p>The other data files, corresponding to the wind farm layouts, provide the x,y coordinates of the wind turbines. </p>
Wind energy taxonomies and restricted vocabularies
<p>This is the update version of the wind energy taxonomies and restricted vocabularies which has been implemented in DTU Data (https://data.dtu.dk/DTU_Wind_Energy) with the purpose of accurately describing published data sets and data collections. The work on updating and implementing the wind energy taxonomies and restricted vocabularies has been done as a part of an internally funded 'FAIR digitalization' project of DTU Wind Energy(see 10.5281/zenodo.1493874). The work on updating the taxonomies and restricted vocabularies is a continuation of the work previously done under the IRPWind Open Data initiative (see 10.5281/zenodo.1199489). </p>
Production Line energy and material flow dataset
<p>File dumpXXXXXX-1122 recounts production of 16 pieces, with<br> workplan "production with no fuse".<br> File dumpXXXXXX-1302 recounts production of 16 pieces, with workplan :production with left<br> fuse"</p>
PROSEU survey questionnaire. New energy for Europe: Renewable Energy Prosumers Initiatives
<p>As part of work package nº2 of the H2020 PROSEU project, which aimed to establish a baseline review and characterisation of renewable energy sources (RES) prosumer (self-consumption) initiatives across Europe, data were collected for nine EU member states (Belgium, Croatia, France, Germany, Italy, Portugal, Spain, the Netherlands, and the United Kingdom) using a self-administered online survey launched in these countries in eight languages, from October 2018 to January 2019. The results of the survey are presented in deliverable D2.1. The present document contains the English version of the questionnaire used in the survey.</p>
Data for: Contrasting response of precipitation to aerosol perturbation in the tropics and extra-tropics explained by energy budget considerations. Dagan et al., 2019 GRL
<p>Data available form the simulation conducted with ICON.</p> <p>The data include the different terms of the energy budget from all the different simulations presented in the paper.</p> <p>ARC is the atmospheric radiative cooling, l is the precipitation, Qsh is the sensiblel heat flux and R is the residual (or the divergent term).</p> <p>ref is for the reference simulation while the rest of the files denote the location of the plume, its size (in degree) and the SSA. for example:</p> <p>p_40N_25_9_5.nc</p> <p>continue the precipitation for the simulation with a plume located at 40N, the size of the plume is 25 degrees and the SSA=9.5.</p> <p> </p> <p>The 3D varblees of temperature and winds are given is the files :</p> <p>monmean_atm_trop_2_4aod_10deg_8ssa_3D_atm_3d_ml.nc</p> <p>and:</p> <p>monmean_atm_40N_2_4aod_10deg_8ssa_3D_atm_3d_ml.nc</p> <p> </p> <p>for two different simulations with the same plume size and SSA but different plume locations (this data is used in Figs. 3 and 4 in the paper).</p> <p> </p> <p> </p>
PROSEU Renewable Energy Country Fact Sheets
<p>As part of work package nº2 of the H2020 PROSEU project, which aimed to establish a baseline review and characterisation of renewable energy sources (RES) prosumer (self-consumption) initiatives across Europe, data were collected for nine EU member states as well as the EU as a whole in order to sketch and compare the Renewable Energy settings that these initiatives are developing in. These data were organised according to 20 indicators and summarised in “country fact sheets”.</p>
SparBOFWEC Spar Buoy for Offshore Floating Wind Energy Conversion - Data Storage Report
<p>The present work describes the experiences gained from the design methodology and operation of a 3D physical model experiment aimed to investigate the dynamic behaviour of a spar buoy (SB) off-shore floating wind turbine (WT) under different wind and wave conditions. The physical model tests have been performed at Danish Hydraulic Institute (DHI) off-shore wave basin within the European Union-Hydralab+ Initiative, in April 2019. The floating WT model has been subjected to a combination of regular and irregular wave attacks and wind loads.</p>
ScienceDex guides
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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.