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4,230 results for “Energie”
Research data accompanying the paper 'GPU-Accelerated Exploration of Biomolecular Energy Landscapes'
<p>Input and output files for the results presented in Tables 1-8 of the paper 'GPU-Accelerated Exploration of Biomolecular Energy Landscapes'. Further information on these files can be found in the README files within the tar file.</p>
Data for Wind Energy Science paper "Modal dynamics of structures with bladed isotropic rotors and its complexity for 2-bladed rotors"
<p>The files are data files with model input and Matlab files with model parameters and function that sets up the block matrices of the dynamic model used in the paper. The Matlab script "test_repo.m" shows how to this function with all input.</p>
Results for paper "Energy dependent mesh adaptivity of discontinuous isogeometric discrete ordinate methods with dual weighted residual error estimators"
<p>This spreadsheet contains the results used to generate the plots in the paper "Energy dependent mesh adaptivity of discontinuous isogeometric discrete ordinate methods with dual weighted residual error estimators".</p>
Plasma potential (triangle dots) at 70 mm from the plasma collector and mean energy of electrons (circle dots) obtained from the current-voltage characteristic of the Langmuir probe
<p>Plasma potential (triangle dots) at 70 mm from the plasma collector and mean energy of electrons (circle dots) obtained from the current-voltage characteristic of the Langmuir probe</p>
A modular set of synthetic spectral energy distributions for young stellar objects - Robitaille (2017) - v1.1
<p>These are the models released with the following publication:</p> <p><em>A modular set of synthetic spectral energy distributions for young stellar objects</em>, Robitaille (2017)</p> <p>A companion repository is available on GitHub:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models</p> <p>In particular, a notebook is provided, demonstrating how the models here can be used:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models/blob/master/notebook/using_the_models.ipynb</p> <p><strong>Note:</strong> the files here do not include polarization results, nor do they include the SEDs split by components (e.g. scattered versus direct light). The raw Hyperion output files which contain this information will be made available at a later date, and a link will be provided here.</p> <p>For <strong>announcements</strong> of new versions of these models, you can subscribe to the following mailing list:</p> <p>https://groups.google.com/forum/#!forum/protostars</p> <p>For <strong>questions or issues</strong> using these models, you can open a GitHub issue in the companion repository:</p> <p>https://github.com/hyperion-rt/paper-2017-sed-models/issues/new</p> <p><strong>MacOS X users:</strong> there is a bug in the bundled version of tar in MacOS X that causes issues when expanding some of the largest files here (this results in the <em>flux.fits</em> file being empty). To avoid this, you can use the GNU tar version which can be installed e.g. with Homebrew using <em>brew install gnu-tar</em> then using the <em>gtar</em> command instead of <em>tar</em>.</p>
Aerodynamics code used in Wind Energy Science paper "Comparison of a coupled near- and far-wake model with a free-wake vortex code"
<p>This research code has been developed from the start of my PhD as a first step before the HAWC2 implementation of the near wake model.</p> <p>It can be used to make aerodynamic computations of a stiff wind turbine rotor, and it includes</p> <ul> <li>A BEM and far wake model implementation based on the one in HAWC2</li> <li>An attached flow unsteady airfoil aerodynamics model including the modifications described in the WES article</li> <li>Most importantly a near wake model implementation including all major modifications except the recent stand still extension presented at TORQUE 2016</li> </ul> <p>All the data files need to be in a subfolder 'NREL_5MW' located in the same folder as the compiled source code.</p> <p>With the present (hardcoded) settings, the program will simulate the NREL 5 MW reference turbine for 650 seconds, with blade vibrations according to different prescribed mode shapes after steady state is reached. The aerodynamics model is a coupled near and far wake model. The integrated aerodynamic work during 1 period of the different prescribed vibrations will be output in the file 'aerowork.out' .</p> <p>The NREL 5 MW turbine is described in:</p> <p>Jonkman, J., Butterfield, S., Musial,W., and Scott, G.: Definition of a 5-MW Reference Wind Turbine for Offshore System Development, National Renewable Energy Laboratory, 2009.</p>
Sensor solutions for an energy-efficient and user-centered heating system
<p>Corresponding dataset for the article "Sensor solutions for an energy-efficient and user-centered heating system" published in the Journal of Sensors and Sensor Systems Special Issue "Sensors and Measurement Systems 2016".</p>
Questionnaire on needs and requirements for energy performance gap reduction at the operational level of a building
<p>Questionnaires provided within the Hit2Gap H2020 project.</p> <p>Lsits needs and requirements of the different actors of the project; these actors are at different responsibilities of a building.</p>
PV penetration vs. (i) Peak reduction, (ii) Ramps increase and (iii) Excess energy
<p>Dataset used for the work described in "An Instrumental Contribution to Include the Impact of PV on Capacity Adequacy in Long-Term Energy Models", for the EEEIC (2017) conference.</p>
Research data accompanying the paper 'Exploiting Sparsity in Free Energy Basin-Hopping'
<p>Input and output files for the results presented in Tables 1-5 of the paper 'Exploiting Sparsity in Free Energy Basin-Hopping'. Further information on these files can be found in the README files within the tar file. </p> <p> </p>
Data and results related to "Fattori et al. 2017 - High Solar Photovoltaic Penetration in the Absence of Substantial Wind Capacity: Storage Requirements and Effects on Capacity Adequacy - Energy"
<p>The file includes data used for the analysis and results coming from the study (which was focused on the Italian "Nord" bidding zone). In particular:</p> <p>(i) Series of hourly load data [MW], from 01.01.2006 to 31.12.2015. The data come from elaborations based on ENTSO-E (https://www.entsoe.eu/db-query/country-packages/production-consumption-exchange-package) and Terna S.p.A. (http://www.terna.it/en-gb/sistemaelettrico/transparencyreport/load/actualload.aspx). All the elaborations are described in details on the paper.</p> <p>(ii) Data related to the penetration of PV. Installed capacity of PV is assumed to increase from zero up to the capacity needed so that the average annual PV generation (based on the years 1986-2015) potentially equals the average annual demand (based on the years 2006-2015).</p> <p>(iii) Synthesis of the results about: residual load (with and w/o storage), ramps (with and w/o storage), excess energy (with and w/o storage), storage requirements</p>
Energy and time optimal trajectories in exploratory jumps of the spider Phidippus regius
<p>Supplementary files S1 from the paper Energy and time optimal trajectories in exploratory jumps of the spider <em>Phidippus regius</em>. CT Scan files - A repository with files from CT scanning, composed of: 1. The volume from the CT scan in VGI/VOL format. 2. A VAXML model of the spider (stl meshes tied together with an XML file). 3. A Drishti Prayog model of the volume</p>
Dataset for "Short-term integration costs of variable renewable energy"
<p>This spreadsheet provides the data used to produce the figures in "Short-term integration costs of variable renewable energy: Wind curtailment and balancing in Britain and Germany" by Michael Joos and Iain Staffell.</p> <div class="itanywhere-activator bounceIn"> </div>
PUDL Raw EIA Annual Energy Outlook (AEO)
<p>The EIA Annual Energy Outlook provides projections of future fuel prices, energy supply and consumption, and carbon dioxide emissions by sector and region. Archived from <a href="https://www.eia.gov/outlooks/aeo/">https://www.eia.gov/outlooks/aeo/</a></p> <p>This archive contains raw input data for the Public Utility Data Liberation (PUDL) software developed by <a href="https://catalyst.coop">Catalyst Cooperative</a>. It is organized into <a href="https://specs.frictionlessdata.io/data-package/">Frictionless Data Packages</a>. For additional information about this data and PUDL, see the following resources: </p><ul> <li><a href="https://github.com/catalyst-cooperative/pudl">The PUDL Repository on GitHub</a></li> <li><a href="https://catalystcoop-pudl.readthedocs.io">PUDL Documentation</a></li> <li><a href="https://zenodo.org/communities/catalyst-cooperative/">Other Catalyst Cooperative data archives</a></li> </ul> <p></p>
Data accompanying the paper "Regime-dependent turbulence length scale formulation for NWP models based on turbulence kinetic energy, shear and stratification", submitted to Monthly Weather Review
<p>This repository contains the outputs of MicroHH LES (van Heerwaarden et al., 2017) and ALADIN-CZ single-column model simulations of four idealized cases:</p> <p>1) The continental cumulus case utilizing measurements from the Atmospheric Radiation Measurement (ARM) program, and Cloud and Radiation Testbed (CART) site in Oklahoma (Brown et al. 2002; Lenderink et al. 2004)</p> <p>2) The trade wind cumulus case from the Barbados Oceanographic and Meteorological Experiment (BOMEX; Siebesma et al. 2003)</p> <p>3) A drizzling stratocumulus case based on the first research flight data of the second period of the Dynamics and Chemistry of Marine Stratocumulus (DYCOMS-II) campaign (Stevens et al., 2005)</p> <p>4) A stable planetary boundary layer case based on the Global Energy and Water Cycle Experiment (GEWEX) Atmospheric Boundary Layer Study (GABLS1) data (Beare et al. 2006; Cuxart et al. 2006; Holtslag 2006)</p> <p>The MicroHH LES outputs are taken from Reilley et al. (2022) study and can be also found at https://doi.org/10.5281/zenodo.6372434. Additionally, we provide case study outputs from the ALADIN-CZ 3D NWP model, wherein the fields roughly match those verified/shown in Fig. 9.</p> <p> </p> <p>The files are organized in the following way:</p> <p>1) MicroHH LES model configuration files (.ini) and output files (NetCDF format) are stored in the file "LES.zip" within "conf" and "data" folders, respectivelly. Additionally, a sample script to plot LES-derived Turbulence Length Scales (TLS) and those based on NWP formulations (using LES data as input) is provided (plot.py).</p> <p>2) The vertical profiles of (i) conserved variables and (ii) turbulent fluxes from the ALADIN-CZ single-column model for four idealized cases are provided in the file "single-column_simulations.zip", consisted of individual ASCII files (per case and TLS formulation). A detailed description of its content can be found in the associated README file.</p> <p>3) Chosen surface and upper-air fields for (i) 23 November 2019 inversion and (ii) 24 June 2022 mesoscale convection system cases are provided in the file "case_studies.zip" and consisted of individual GRIB files per field and prognostic hour. A detailed description of its content can be found in the associated README file.</p> <p> </p> <p> </p>
Dataset for "ConfSolv: Prediction of solute conformer free energies across a range of solvents"
<p>This dataset contains three archives. The first archive, full_dataset.zip, contains geometries and free energies for nearly 44,000 solute molecules with almost 9 million conformers, in 42 different solvents. The geometries and gas phase free energies are computed using density functional theory (DFT). The solvation free energy for each conformer is computed using COSMO-RS and the solution free energies are computed using the sum of the gas phase free energies and the solvation free energies. The geometries for each solute conformer are provided as ASE_atoms_objects within a pandas DataFrame, found in the compressed file dft coords.pkl.gz within full_dataset.zip. The gas-phase energies, solvation free energies, and solution free energies are also provided as a pandas DataFrame in the compressed file free_energy.pkl.gz within full_dataset.zip. Ten example data splits for both random and scaffold split types are also provided in the ZIP archive for training models. Scaffold split index 0 is used to generate results in the corresponding publication. </p><p>The second archive, refined_conf_search.zip, contains geometries and free energies for a representative sample of 28 solute molecules from the full dataset that were subject to a refined conformer search and thus had more conformers located. The format of the data is identical to full_dataset.zip.</p><p>The third archive contains one folder for each solvent for which we have provided free energies in full_dataset.zip. Each folder contains the .cosmo file for every solvent conformer used in the COSMOtherm calculations, a dummy input file for the COSMOtherm calculations, and a CSV file that contains the electronic energy of each solvent conformer that needs to be substituted for "EH_Line" in the dummy input file.</p>
Putting a new `spin' on energy information: Measuring the impact of reframing energy efficiency information on tumble dryer choices in a multi-country experiment.
<p>Public open-access repository for the data used within the paper titled "Putting a new `spin' on energy information: Measuring the impact of reframing energy efficiency information on tumble dryer choices in a multi-country experiment".</p>
COSIPY distributed simulations of Mera Glacier mass and energy balance (20161101-20201101)
<p>The four netCDF files contain outputs from COSIPY model (Sauter et al., 2020) for Mera Glacier for the period 20161101 to 20201101. The model is run on a 0.003°*0.003° grid, and forced with meteological variables collected locally and distributed with constant gradients. The "constants.py" is the python file that contains the specific model settings.</p>
Data for The role of halogens in Au-S bond cleavage for energy-differentiated catalysis at the single-bond limit
<p>The source data for figures in <strong>The role of halogens in Au-S bond cleavage for energy-differentiated catalysis at the single-bond limit </strong></p>
Of Mojave milkweed and mirrors: The population genomic structure of a species impacted by solar energy development
<p>A rapid renewable energy transition has facilitated the development of large, ground‐mounted solar energy facilities worldwide. Deserts, and other sensitive aridland ecosystems, are the second most common land‐cover type for solar energy development globally. Thus, it is necessary to understand existing diversity within environmentally sensitive desert plant populations to understand spatiotemporal effects of solar energy siting and design. Overall, few population genomic studies of desert plants exist, and much of their biology is unknown. To help fill this knowledge gap, we sampled Mojave milkweed (<em>Asclepias</em> <em>nyctaginifolia</em>) in and around the Ivanpah Solar Electric Generating Station (ISEGS) in the Mojave Desert of California to understand the species' population structure, standing genetic variation, and how that intersects with solar development. We performed Restriction‐site Associated Sequencing (RADseq) and discovered 9942 single nucleotide polymorphisms (SNPs). Using these data, we found clear population structure over small spatial scales, suggesting each site sampled comprised a genetically distinct population of Mojave milkweed. While mowing, in lieu of blading, the vegetation across the solar energy facility's footprint prevented the immediate loss of the ISEGS Mojave milkweed population, we show that the effects of land‐cover change, especially those impacting desert washes, may impact long‐term genetic diversity and persistence. Potential implications of this include a risk of overall loss of genetic diversity, or even hastened extirpation. These findings highlight the need to consider the genetic diversity of impacted species when predicting the impact and necessary conservation measures of large‐scale land‐cover changes on species with small population sizes.</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.