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4,230 results for “Energie”
iBECOME webinar - EU Sustainable Energy Week 2021
<p>iBECOME hosted a webinar as part of EU Sustainable Energy Week which took place in October 2021. The webinar gave attendees an overview of iBECOME, the demo sites, and two platforms used in the project; Schneider Electric's EcoStruxure Platform and iSCAN developed by IES.</p>
Will it float? Exploring the social feasibility of floating solar energy infrastructure in the Netherlands
<p>Floating photovoltaic (FPV) is emerging as a promising renewable energy concept in which solar panels are installed on floating infrastructure to enable the production of renewable energy on water. While the body of knowledge on technical, financial and environmental aspects is expanding steadily, so far the societal implications of FPV remain largely unstudied. Here, we investigate public attitudes to a FPV pilot project at the Oostvoornse lake, the Netherlands. We conducted interviews with stakeholders to explore how the local community with high interest and involvement in the lake perceives the pilot project. Thereupon, we conducted a field survey with recreational users of the lake and carried out a random forest regression analysis to examine what factors shape recreationists’ support or opposition. Interview results show that the diversity of stakeholders and their diverging use of the Oostvoornse lake leads to a broad variety of concerns about how the pilot project could affect their activities and interests. Particularly the uncertainty on possible impacts due to the newness of FPV was a reason for stakeholders to take a reluctant stance towards the pilot. In contrast, our quantitative results show that recreationists were highly supportive of the project, mainly due to their positive attitudes towards local authorities and the broader societal benefits the pilot project is perceived to generate. Landscape alteration was identified to be by far the most important objection, which indicates that negative implications from a recreation perspective could be largely accommodated through appropriate siting decisions or other measures that mitigate visibility.</p>
Energy Efficiency Technologies Costs - Support File for Data Manipulation Starter Data Kits
<p>This file can be used to manipulate the Energy Efficiency Technologies Costs data for the Starter Data Kits. </p>
Potential energy surfaces and rovibrational line lists for beryllium dihydride
<p>Molpro restart files of the potential energy and property surfaces for water and beryllium dihydride and its deuterated isotopologue. Rovibrational line lists containing infrared and Raman intensities as reported in "Efficient and Automated Quantum Chemical Calculation of Rovibrational Nonresonant Raman Spectra" ( <a href="https://doi.org/10.1063/5.0087359">https://doi.org/10.1063/5.0087359 )</a></p>
Data for the paper: Water-Food-Energy nexus: Learning from global cities using machine learning algorithms
<p>This data respository contains the datasets used to produce the "<strong>Water-Food-Energy nexus: Learning from global cities using machine learning algorithms" </strong>article. </p>
Dataset: 800 QM/MM minimum energy pathway conformations for the acylation reactions of Toho-1/ampicillin and Toho-1/cefalexin
<p>This dataset consists of 800 coordinate files (in the CHARMM psf/cor format) for the QM/MM minimum energy pathways of the acylation reactions between a Class A beta-lactamases (Toho-1) and two beta-lactam antibiotic molecules (ampicillin and cefalexin).</p> <p>These files are:</p> <ul> <li>toho_amp.r1-ae.zip: The R1-AE acylation pathways for Toho-1/Ampicillin (200 pathways);</li> <li>toho_amp.r2-ae.zip: The R2-AE acylation pathways for Toho-1/Ampicillin (200 pathways);</li> <li>toho_cex.r1-ae.zip: The R1-AE acylation pathways for Toho-1/Cefalexin (200 pathways);</li> <li>toho_cex.r2-ae.zip: The R2-AE acylation pathways for Toho-1/Cefalexin (200 pathways);</li> <li>energies.zip: the replica energies at B3LYP-D3/6-31+G**/C36 level;</li> <li>chelpgs.zip: the ChElPG charges of all reactant replicas at B3LYP-D3/6-31+G**/C36 level;</li> <li>farrys.zip: the featurzied NumPy arrays for model training;</li> <li>peephole.zip: an example file for how the optimized MEPs look like; </li> <li>dftb3_benchmark.zip: the reference calculations to justify the use of DFTB3/3OB-F/C36 in MEP optimizations, the reference level of theory is B3LYP-D3/6-31G**/C36. </li> </ul> <p>The R1-AE pathways are the acylation uses Glu166 as the general base; the R2-AE pathways uses Lys73 and Glu166 as the concerted base. </p> <p>All QM/MM pathways are optimized at the DFTB3/3OB-f/CHARMM36 level of theory. </p> <p>Z. Song et al Mechanistic Insights into Enzyme Catalysis from Explaining Machine-Learned Quantum Mechanical and Molecular Mechanical Minimum Energy Pathways. <em>ACS Phys. Chem Au</em> 2022, <strong>2</strong>, 4, 316–330. DOI: <a href="https://doi.org/10.1021/acsphyschemau.2c00005">10.1021/acsphyschemau.2c00005</a></p>
What energy infrastructure to support 1.5°C scenarios? - Scenario data
<p>This excel file summarizes the main assumptions considered for the analysis " What energy infrastructure to support 1.5°C scenarios?", prepared by Artelys on behalf of the European Climate Foundation in 2020. The report is available here: https://www.artelys.com/wp-content/uploads/2020/12/Artelys-2050EnergyInfrastructureNeeds.pdf</p>
A role for myosin II cluster and membrane energy in cortex rupture for Dictyostelium discoideum cells
<p>Blebs, pressure driven protrusions of the cell membrane, facilitate the movement of eukaryotic cells such as the soil amoeba <em>Dictyostelium discoideum</em>, white blood cells and cancer cells. Blebs initiate when the cell membrane separates from the underlying cortex. A local rupture of the cortex, has been suggested as a mechanism by which blebs are initiated. However, much clarity is still needed about how cells inherently regulate rupture of the cortex in locations where blebs are expected to form. In this work, we examine the role of membrane energy and the motor protein myosin II (myosin) in facilitating the cell driven rupture of the cortex. We perform under-agarose chemotaxis experiments, using <em>Dictyostelium discoideum</em> cells, to visualize the dynamics of myosin and calculate changes in membrane energy in the blebbing region. To facilitate a rapid detection of blebs and analysis of the energy and myosin distribution at the cell front, we introduce an autonomous bleb detection algorithm that takes in discrete cell boundaries and returns the coordinate location of blebs with its shape characteristics. We are able to identify by microscopy naturally occurring gaps in the cortex prior to membrane detachment at sites of bleb nucleation. These gaps form at positions calculated to have high membrane energy, and are associated with areas of myosin enrichment. Myosin is also shown to accumulate in the cortex prior to bleb initiation and just before the complete disassembly of the cortex. Together our findings provide direct spatial and temporal evidence to support cortex rupture as an intrinsic bleb initiation mechanism and suggests that myosin clusters are associated with regions of high membrane energy where its contractile activity leads to a rupture of the cortex at points of maximal energy.</p>
Time-synchronized Energy Harvesting Traces
<p>32h of time-synchronized energy-harvesting traces from 5 different scenarios involving solar panels and piezoelectric harvesters. The data was recorded with, a measurement tool that records time-synchronized voltage and current traces from one or more energy-harvesting nodes with high rate and resolution.</p> <ul> <li>The <em>jogging</em> dataset comprises traces from two participants, each equipped with two piezoelectric harvester at the ankles and a solar panel at the left wrist. The two participants run together for an hour in a public park, including short walking and standing breaks.</li> <li>For the <em>stairs</em> dataset, we recorded traces from six solar panels that are embedded into the surface of an outdoor stair in front of a lecture hall. Over the course of one hour, numerous students pass the stairs, leading to temporary shadowing effects on some or all of the solar panels.</li> <li>The <em>office</em> dataset comprises traces from five solar panels mounted on the doorframe and walls of an office with fluorescent lights. During the one-hour recording, people enter and leave the office and operate the lights.</li> <li>The <em>cars</em> dataset contains traces from two cars. Each car is equipped with three piezoelectric harvesters mounted on the windshield, the dashboard, and in the trunk. The cars drive for two hours in convoy over a variety of roads.</li> <li>The <em>washer</em> dataset includes five traces from piezoelectric harvesters mounted on a WPB4700H industrial washing machine, while the machine runs a washing program with maximum load for 45 minutes.</li> </ul>
Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'
<p>Supplementary Materials for 'Mobile device-based Bluetooth Low Energy Database for range estimation in collaborative positioning'</p> <p>This package contains a collaborative BLE-RSS database, which considers different collaborative set-ups involving five mobile devices. The database is composed of three main subdirectories (Raw-Data, Processed-Data, and Code). The Code directory contains the Matlab script files used to process the raw data, visualize the processed data, and usage examples of the data provided. Further information is provided in the Readme file.</p>
CH3CH2OCH3 conformer molecule 200 ps MD trajectory with energies and forces
<p>Forces and Energies for 200 ps MD trajectory of OCH2C2H6 molecule by xTB/GFN-2, NVE ensemble</p> <p>--------------------------------------------------</p> <p>MD params:</p> <p>temp = 300.0 K / 500.0 K<br> time = 200.0 ps<br> dump time = 10.0 fs<br> step = 0.4 fs</p> <p> </p> <p>SOAP params:</p> <p>species=["H", "C", "O"],</p> <p>periodic=False,</p> <p>rcut=5.0,</p> <p>sigma=0.5,</p> <p>nmax=5,</p> <p>lmax=5,</p> <p>average="outer" / "inner",</p> <p>crossover=True,</p> <p>dtype="float64",</p> <p>------------------------------------------------</p> <p>SOAP invariants were calculated with DScribe library (https://pypi.org/project/dscribe/1.2.1/)</p> <p> </p> <p>Energies and forces are in eV and eV/Angstrom</p> <p>Filenames are intended to be self-explanatory</p> <p>Dataset is intended to be used for machine learning algorithms tests.</p>
CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 5% of energy saved for upward regulation
<p>The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost.</p> <p>This dataset contains the results of the market participation algorithm running for a week, configured for offering 5% of the forecasted energy for upward regulation.</p> <p>Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece.</p> <p>For each country, hour by hour, the following information is provided:</p> <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>
CROSSBOW HLU2-UC6-TC1 Economical benefit of mFRR market participation with 20% of energy saved for upward regulation
<p>The energy market participation algorithm of RES-CC allows for participating in DA/ID markets and balancing markets. The process uses the energy generation forecasting of the plants to generate the energy bids for the DA/ID market. With regards to the mFRR market, the whole amount of curtailable energy is offered for downward regulation. Additionally, the process is configurable so that it can save a given amount of the potential generation, do not offering this energy in the DA/ID market but offering it for upward regulation in the mFRR. This upward regulation can only be done with Renewables by means of not selling part of the forecasted energy. This is a risk, as the upward regulation energy might not be requested by the operator, and thus the profit for the generation will be lost.</p> <p>This dataset contains the results of the market participation algorithm running for a week, configured for offering 20% of the forecasted energy for upward regulation.</p> <p>Dataset contains the results for the CROSSBOW portfolios of Croatia, Bulgaria, Romania and Greece.</p> <p>For each country, hour by hour, the following information is provided:</p> <ul> <li>Energy sold in IDM</li> <li>Forecasted generation</li> <li>Energy sold mFRR down</li> <li>Energy sold mFRR up</li> <li>Energy price mFRR down</li> <li>Energy price mFRR up</li> <li>Energy price in IDM</li> <li>Energy looses (saved and not sold in mFRR up)</li> </ul>
Seasonal analysis comparison of three air-cooling systems in terms of thermal comfort, air quality and energy consumption for school buildings in Mediterranean climates
<p>Efficient air-cooling systems for hot climatic conditions, such as Southern Europe, are required in the context of nearly Zero Energy Buildings, nZEB. Innovative air-cooling systems such as regenerative indirect evaporative coolers, RIEC and desiccant regenerative indirect evaporative coolers, DRIEC, can be considered an interesting alternative to direct expansion air-cooling systems, DX. The main aim of the present work was to evaluate the seasonal performance of three air-cooling systems in terms of air quality, thermal comfort and energy consumption in a standard classroom. Several annual energy simulations were carried out to evaluate these indexes for four different climate zones in the Mediterranean area. The simulations were carried out with empirically validated models. The results showed that DRIEC and DX improved by 29.8% and 14.6% over RIEC regarding thermal comfort, for the warmest climatic conditions, Lampedusa and Seville. However, DX showed an energy consumption three and four times higher than DRIEC for these climatic conditions, respectively. RIEC provided the highest percentage of hours with favorable indoor air quality for all climate zones, between 46.3% and 67.5%. Therefore, the air-cooling systems DRIEC and RIEC have a significant potential to reduce energy consumption, achieving the user’s thermal comfort and improving indoor air quality.</p>
CROSSBOW HLU3-UC1-TC1 Energy arbitrage revenues for storage asset
<p>In the process of energy arbitrage described in HLU3_UC3, storage assets buy energy from RES assets in valley price periods and later on sell this energy in peak price periods, thus earning some money for the shifting of the energy consumption to the periods were it more demanded (higher prices). The total benefits for the storage asset have some factors into account:</p> <ul> <li>The energy acquisition (charge) is only happening is there is possibility to sold (discharge) the energy in a near future with benefits (higher price)</li> <li>The energy is paid in the storage market at a price that compensate the RES owners for the low prices in the DA/ID markets. The energy is bought at the DA/ID market at the existing price</li> <li>Energy stored is sold in the most beneficial periods</li> </ul> <p>The dataset contains the revenues theoretically obtained in the DA/ID markets and the real revenues obtained considering the bilateral agreement with the storage asset. Fields:</p> <ul> <li>Time</li> <li>Payments: cost of the energy bought (including both markets)</li> <li>Revenues: earning for the energy sold</li> <li>Balance: revenues - payments</li> </ul>
CROSSBOW HLU3-UC3-TC1 Energy arbitrage revenues for RES portfolio
<p>In the process of energy arbitrage described in HLU3_UC3, the RES BSPs manages to be paid for their generation at least with a proce equal to its generation cost (40€ in the demonstration). This is achieved by:</p> <ul> <li>Selling their production in the DA/ID at the market price (price < 40€ in the demonstration)</li> <li>Selling their production in the storage market at a price that covers the gap until the generation cost (40€ in the demonstration). This is a financial market that do not imply real energy exchange, but allows for bilateral agreements between RES plants and storage assets</li> </ul> <p>The dataset contains the revenues theoretically obtained in the DA/ID markets and the real revenues obtained considering the bilateral agreement with the storage asset. Fields:</p> <ul> <li>Time</li> <li>Theorical Revenues</li> <li>Real revenues</li> </ul>
Indicator values for the many-body localization of the Heisenberg spin chain at various energies, system sizes and disorder magnitude
<p>This data set accompanies the preprint <em>Scalable approach to many-body localization via quantum data </em>(arXiv: <a href="https://arxiv.org/abs/2202.08853">2202.08853</a>) and its code, available at <a href="https://github.com/GreschAl/MBLlearning">GitHub</a>.</p> <p>It consists of the numerically obtained indicator values for the many-body localization for the Heisenberg model (see preprint for details and background) for various values of the energy density <span class="math-tex">\(\epsilon = 0.05, 0.1, \dots, 0.9, 0.95\)</span> and for chain lengths <span class="math-tex">\(L = 10, 12, 14\)</span>. For each tuple <span class="math-tex">\((\epsilon,L)\)</span>, there exist two files, representing the training and the test set, respectively. Each such file contains various values of the disorder parameter <span class="math-tex">\(h = 0.5, 1, \dots, 14.5, 15\)</span> with <span class="math-tex">\(N = 1000\ (100)\)</span> sampled realizations of the disorder vector for each <span class="math-tex">\(h\)</span> for the training (test) set, followed by the three calculated values of the three indicators.</p> <p>The data is automatically processable by the code provided in the GitHub repository.</p>
Survey questionnaire and results on Structural Barriers to Investment in Energy Efficiency Policies in the Private Rented Sector
<p>The online survey was designed and conducted in the framework of the EU H2020 project ENPOR ("Actions to Mitigate Energy Poverty in the Private Rented Sector). The aim of the survey was to receive statistically sound insights on structural factors that affect the implementation of energy efficiency policies for the alleviation of energy poverty in the European Private Rented Sector. We developed it as an explorative, semi-quantitative, self-completion online questionnaire, using the online tool “EUSurvey”. We performed the online survey among different stakeholders from academia, policy, NGO’s, landlords and tenant associations, etc.</p>
Survey questionnaire and results on Pay-for-Performance (P4P) schemes for energy efficiency measures
<p>The online survey was designed and conducted in the framework of the EU H2020 SENSEI project. The aim of the survey was to identify stakeholders’ perceptions on how P4P programmes could be integrated into the existing EU regulatory and market framework. We developed a semi-quantitative, self-completion online questionnaire, using the online tool “Alchemer”. The online survey collects input from different experts from the field of academia, consultancies, policymaking, and the energy industry. </p> <p>The questionnaire is used by <em>Tzani</em> <em>et al </em>(2022) to investigate how policy developments and adjustments in the EU can facilitate the design of performance-based energy efficiency programmes. The study combines a Strengths, Weaknesses, Opportunities, and Threats framework with an Analytical Hierarchy Process method and a Threats, Opportunities, Weaknesses, and Strengths matrix for the analysis of different stakeholder perceptions and the formulation of policy strategies.</p> <p>If you use this questionnaire in an academic publication, please cite the corresponding article:</p> <p><em>Tzani, D., Exintaveloni, D.S., Stavrakas, V., Flamos, A. </em><em>Devising policy strategies for the deployment of energy efficiency Pay-for-Performance programmes in the European Union</em><em>. </em></p>
Mean Energies and Energy Fluxes from THEMIS ASIs on 2010-02-16 from 9-10 UT
<p>This dataset includes the precipitated mean energies and energy fluxes determined using the THEMIS all-sky-imagers on February 16, 2010, from 9-10 UT. Versions that assumed a Gaussian distribution and those that assumed a Maxwellian distribution of the precipitated populations are both included. The methods to create the dataset are described in the following publication, for which this data was used:</p> <p>Gabrielse C, Nishimura T, Chen M, Hecht JH, Kaeppler SR, Gillies DM, Reimer AS, Lyons LR, Deng Y, Donovan E and Evans J (2021) Estimating Precipitating Energy Flux, Average Energy, and Hall Auroral Conductance From THEMIS All-Sky- Imagers With Focus on Mesoscales. Front. Phys. 9:744298. doi: 10.3389/fphy.2021.744298 </p> <p><a href="https://www.frontiersin.org/articles/10.3389/fphy.2021.744298/full">https://www.frontiersin.org/articles/10.3389/fphy.2021.744298/full</a></p> <p>The data are stored in TPLOT variables, which can be accessed using the SPEDAS software routines that can be downloaded here: http://themis.igpp.ucla.edu/software.shtml </p> <p>The TPLOT variables store the data in a structure that has the following format:</p> <p>DOUBLE Array[1200]<br> X_IND LONG Array[1]<br> Y FLOAT Array[1200, 400, 400]<br> Y_IND LONG Array[1]<br> GLAT FLOAT Array[400, 400]<br> GLAT_IND LONG Array[1]<br> GLON FLOAT Array[400, 400]<br> GLON_IND LONG Array[1]</p> <p>The Y attribute contains the data (either mean energy or energy flux) in a 1200 x 400 x 400 array. The 1200 points represent time, which are recorded in the X attribute as seconds since January 1, 1970. The 400 x 400 array represent the 400 x 400 locations where data was recorded. Those locations are stored as geographic latitude and longitudes in the GLAT and GLON attributes. </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.