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4,230 results for “Energie”
RIBuild: Energy saving potential, LCA and LCC - case studies
<p>Data set from</p> <p>(1) Danish, Latvian and Italian desk-top case studies on energy saving potential, including description and output from building simulation using national simulation tools, referring to RIBuild Task 5.1.</p> <p>(2) LCA and LCC analyses on Italian case study, referring to RIBuild Task 5.2 and 5.3.</p> <p>Overview of data files to be found in ’RIBuild data WP5 Case studies’ as part of this dataset.</p> <p>Further details to be found in RIBuild deliverable D5.1 (Task 5.1 and 5.2) and D5.2 (Task 5.3).</p>
Global primary energy and GDP data
<p>Data used for article "<strong>Energy</strong> <strong>Limits to the Gross Domestic Product on Earth</strong>" https://arxiv.org/abs/2005.05244</p> <p>Aggregation from various data sets:</p> <p>https://ourworldindata.org/energy</p> <p>GDP data from World Bank</p>
An open dataset to study interlinkages triggered by energy transition in the transboundary Upper-Rhine within the WEFCL-Nexus
<p>This data set contains socio-economic and biophysical data describing the functioning of each of the five sectors the of Water – Energy – Climate – Land-Use – Food Nexus in the Upper Rhine. All data go from 2006-2050 at monthly time step. This data set was built as part of the SIM4Nexus H2020 project while aiming at putting into practice the Nexus approach and investigating conflicts and synergies triggered within the WEFCL-Nexus by energy transition in the Upper-Rhine, especially the development of bioenergy and renewables. This data set contains socio-economic and biophysical data describing the functioning of each of the five sectors the of Water – Energy – Climate – Land-Use – Food Nexus in the Upper Rhine. All data go from 2006-2050 at monthly time step. This data set was built as part of the SIM4Nexus H2020 project while aiming at putting into practice the Nexus approach and investigating conflicts and synergies triggered within the WEFCL-Nexus by energy transition in the Upper-Rhine, especially the development of bioenergy and renewables.</p>
Electron energy loss spectra of several organic compounds
<p>We placed crystals of different compounds to explore the possibility of fingerprinting them through EELS.</p> <p>Here are representative datasets of 7 different compounds:</p> <ul> <li>b-cyclodextrin</li> <li>hexacarboxy cyclohexane</li> <li>tannin</li> <li>TH-15 peptide</li> <li>TH-27 peptide</li> <li>two different forms of piroxicam</li> </ul> <p>The datasets were collected at EMAT, using a monochromated FEI Titan<sup>3</sup> TEM, within the scope of an EUSMI request.</p> <p>More information as well as analysis methodologies adopted for the data are detailed in the paper:</p> <p>Das <em>et al.</em> "Reliable Characterization of Organic & Pharmaceutical Compounds with High Resolution Monochromated EEL Spectroscopy", <em>Polymers</em> <strong>2020</strong>, <em>12</em>(7), 1434.</p> <p>The paper is Open Access gold and the full text is available at: <a href="https://doi.org/10.3390/polym12071434">https://doi.org/10.3390/polym12071434</a></p>
Global Energy Virtual Water Trade Network and Country Electricity Water Footprints
<p>Global energy trade accounts for between 22 and 32% of total energy consumption, approximately 2.0 x 10<sup>11</sup> GJ of energy. Based on concepts of the energy-water nexus and water footprinting, we determine the water intensity of the energy trade for 11 different energy commodities, including primary (i.e., fossil fuels) and secondary (i.e., electricity) energy. In this data description, we present a database on the water footprint of country-to-country energy trade for 2010--2018 and water intensity values of electricity for each country. The database includes the country of origin, trade partner, type of energy commodity, quantity traded, value of the energy trade, a mean water footprint value in m<sup>3</sup>, and an estimated range of uncertainty water footprint. These data provide the basis for assessing international virtual water trade, water scarcity concerns, and the environmental implications for a changing global energy system. </p>
Resonance energy transfer sensitizes and monitors in situ switching of LOV2-based optogenetic actuators
<p>Engineered light-dependent switches provide uniquely powerful opportunities to investigate and control cell regulatory mechanisms. Existing tools offer high spatiotemporal resolution, reversibility and repeatability. Yet cellular optogenetics applications remain limited in practice. Validation difficulties constrain most usage to easily verified protein translocation rather than inhibition of diffusible targets. Blue light levels commonly needed for actuation can be cytotoxic, precluding long-term experiments. We describe a simple approach overcoming these obstacles. Resonance energy transfer with an adjacent chromophore modulates actuation sensitivity over a 7-fold range. This simultaneously offers on-line monitoring of light-dependent switching and precise quantification of activation-relaxation properties in intact living cells. Applying this approach to different LOV2-based switches reveals relaxation times up to 11-fold faster than anticipated. <em>In situ</em>–measured parameter values guide the design of target-inhibiting actuation trains with minimal blue-light exposure, and context-based optimisation can increase sensitivity and experimental throughput a further 10-fold without loss of temporal precision.</p>
Better together? how intergroup associations affect energy balance and feeding behavior in wild bonobos
<p>When the benefits of interacting with out-group members exceed the associated costs, social groups may be expected to be tolerant towards each other. However, in many species exhibiting intergroup tolerance, the nature of benefits gained from intergroup encounters remains unclear. We investigated the potential costs and benefits associated with intergroup associations in bonobos, a species with varying degrees of intergroup tolerance, by testing whether these associations conferred energetic benefits to participants under different socioecological contexts, and whether the consequences of these associations substantially differed from within-group competition. We used measures of socioecological factors (i.e. fruit abundance and group size), feeding and ranging behaviors, and a physiological marker of energy balance (i.e. urinary c-peptides of insulin) collected over a 19-month period from two neighboring wild communities in the Kokolopori Bonobo Reserve, DRC. We found that intergroup associations did not affect individuals' energy balance, but they did alter individuals' ranging and feeding behavior. Specifically, bonobos travelled longer distances, visited larger fruit patches, and increased the time spent feeding on fruits on days they associated with the neighboring group. These adaptations in feeding behavior may be strategies to offset the energetic costs of increased travel distances. In the absence of obvious energetic benefits and with clear strategies employed to offset energetic costs, it is likely that intergroup associations in bonobos provide benefits unrelated to energy acquisition, such as social benefits. Our study sheds light on the potential incentives promoting social networks to extend beyond and across groups in a tolerant species.</p>
Energy consumption and greenhouse gas emissions data of activated carbon production using different biomass
<p>This dataset includes the energy consumption and Greenhouse Gas emissions data of activated carbon production using 73 different types of woody biomass.</p> <p>Understanding the environmental implications of activated carbon (AC) produced from diverse biomass feedstocks is critical for biomass screening and process optimization for sustainability. Many studies have developed Life Cycle Assessment (LCA) for biomass-derived AC. However, most of them either focused on individual biomass species with differing process conditions or compared multiple biomass feedstocks without investigating the impacts of feedstocks and process variations. Developing LCA for AC from diverse biomass is time-consuming and challenging due to the lack of process data (e.g., energy and mass balance).</p> <p>This study addresses these knowledge gaps by developing a modeling framework that integrates artificial neural network (ANN), a machine learning approach, and kinetic-based process simulation. The integrated framework is able to generate Life Cycle Inventory data of AC produced from 73 different types of woody biomass with 250 characterization data samples. The results show large variations in energy consumption and GHG emissions across different biomass species (43.4–277 MJ/kg AC and 3.96–22.0 kg CO<sub>2</sub>-eq/kg AC). The sensitivity analysis indicates that biomass composition (e.g., hydrogen and oxygen content) and process operational conditions (e.g., activation temperature) have large impacts on energy consumption and GHG emissions associated with AC production.</p>
Miscellaneous Electric Loads: Dataset of Unit Energy Consumption
<p>Spreadsheet dataset of unit energy consumption of 36 residential and commercial miscellaneous electric loads (MELs), with forecasts out to 2030. This is an update from version 1.0.0 (published September 2019) that contains two key changes:</p> <ol> <li>A calculation error on the annual energy consumption for residential security systems has been updated.</li> <li>Residential laptop computers are now explicitly analyzed and have a dedicated tab in the spreadsheet.</li> </ol> <p>Sources for all data are provided in the first tab (called "Legend and Sources").</p>
Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"
<p><em><strong>Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"</strong></em></p> <p>This dataset provides data from a series of atomistic simulations from experiments on the effects of varying the size of defects on a monolayer of Cobalt, where defects of three shapes (square, triangle and bezier) are varied in size, and the effect of the demagnetising interaction viewed.<br> The simulations were performed with the open-source software Fidimag (10.5334/jors.223, 10.5281/zenodo.2650286).</p> <p>The dataset is split into several directories, and the data is either stored in VTK files (which can be opened by a variety of free tools, for e.g. Paraview and MayaVi, TecPlot), and CSV files and NDT files, which can be opened in standard numerical data libraries and software (e.g. Pandas, NumPy, Excel, LibreOffice Calc) or opened in a text editor for viewing directly.</p> <p><strong>energy-barrier-data</strong></p> <p>This folder contains space delimited NDT files which give the energy information history across a set of simulations. This contains 6 folders:<br> squ-nd, tri-nd, bez-nd and squ-wd, tri-wd, bez-wd which correspond to data for the square, triangle and bezier defects, calculated without and with the demagnetising interaction respectively.</p> <p>For the triangle datasets, the files are labelled with the width of the defect. For the square datasets, the files are labelled with the width and height of the defect. For the bezier datasets, the files are labelled with the width, and the height of the control point for a bezier curve.</p> <p>Each row in the data file gives the energy of a set of images in the Nudged Elastic Band Method at a given iteration; thus, the final row is the converged energy data.</p> <p><strong>energy-term-data-triangles</strong></p> <p>This folder contains more detailed energy information calculated for the converged triangle images. These CSV files are labelled with the width of the defect, and 'nd' for no demagnetising interaction, and 'wd' if the demagnetistaion is present (e.g. 'w_0.5_nd.csv' is the file for a width 0.5nm triangular defect with no demagnetising interaction). These files have columns corresponding to the different magnetic energies (Exchange, Anisotropy, DMI, Demagnetising) in Joules for each image in the NEBM calculation, along with the total energy of each state.</p> <p><strong>vtks</strong></p> <p>This folder contains VTK files of some of the states used to create figures. There are six folders <br> * no-defect and no-defect-wd which correspond to the set of images from simulations of the nanostructure with no defect present<br> * squ-5.0_5.0 and squ-wd-5.0_5.0 which are for the sample with a 5.0nm by 5.0nm defect<br> * tri-7.0 and tri-wd-7.0 which are for the sample with a triangular defect of width 7.0nm.</p>
Non-Profit Energy Cooperatives as the Catalyst of the Movement of People to Renewable Electricity
<p>The Environment, Energy and Natural Resources (EENR) Center of University of Houston Law Center hosted a webinar on April 3rd – 11:00 am EDT as part of the Energy Transition Governance Project Webinar/Lecture Series.</p> <p>The webinar features: Melissa K. Scanlan, Visiting Professor, Boston College Law School, Director, New Economy Law Center, Law Professor, Vermont Law School;</p> <p>Gabe Pacyniak, Assistant Professor of Law, University of New Mexico;</p> <p>Aubin Nzaou, Marie Sklodowska-Curie Fellow in Law and Energy Policy, University of Houston Law Center.</p> <p>The renewable energy revolution poses a once in a lifetime opportunity for co-benefits of democracy, bringing electricity to those who lack it, and equity. This transition has the potential for widely shared prosperity, not just a decrease in suffering. To unlock that potential, however, we also need to disrupt business as usual in the dominant business model. The co-benefits are more likely if the institutions that lead the way are democratically owned and managed with the explicit goal of bringing the benefits of ownership to those who have been traditionally marginalized by the current economic and energy system. The talk will sketch the pathways to sustainable development and deep decarbonization of energy at the global level. First, Professor Melissa Scanlan will discuss research on non-profit energy cooperatives she is leading, which demonstrates how different aspects of the transition are already underway. Each case study, from a comparative perspective of Spain and the U.S., includes an overview of the cooperative’s history, type, and economic sector; context based on its industry and country; best practices in environmental sustainability; and its governance and cooperative legal structure. The panel will discuss Spanish renewable energy cooperatives involved in various points in the energy system and a US electricity cooperative in the politically conservative Deep South that is leading the transition to renewables. Second, Professor Gabe Pacyniak will discuss how the rural electricity cooperative model in the United States also presents some challenges when it comes to shifting to a lower-carbon electricity grid. The over 900 electric cooperatives in the United States have generally been slower to shift to lower-carbon electricity in comparison to other types of utilities. Pacyniak will share research that identifies structural and institutional factors for this lag, and will also highlight opportunities to strengthen cooperative supports and oversight to accelerate the shift to a low-carbon electricity system.</p>
In-Stream Energy by Tidal and Wind-Driven Currents: An Analysis for the Gulf of California
<p>Dataset associated with the submitted publication - "In-Stream Energy by Tidal and Wind-Driven<br> Currents: An Analysis for the Gulf of California" in Energies.</p> <p>Created: 10/15/2020 by Victor M. Godínez (CICESE). Ver. 1.0</p> <p>Authors: Vanesa Magar, Victor M. Godínez, Markus S. Gross, Manuel López-Mariscal, Anahí Bermúdez-Romero, Julio Candela and Luis Zamudio.<br> Project_info: This data base has been obtained during the project funded by the financial support of SENER-CONACyT grant 249795, within the project "CeMIE-Océano".</p> <p>License: The authors appreciate that users of these data: 1) Include the requested acknowledgment (cite using the DOI of this dataset) in any presentations or publications.</p> <p>Fig2: Variables:</p> <p> 'Time' 'Julian days'</p> <p> 'SEC Speed' 'm/s'</p> <p> 'HYCOM Speed' 'm/s'</p> <p> </p> <p>Fig3: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'U STM Speed' 'm/s'</p> <p> </p> <p>Fig5: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'TPD>50' 'W m<sup>-2</sup>'</p> <p> </p> <p>Fig6: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> '%Time TPD>50' '%'</p> <p> </p> <p>Fig7: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'AEP ' 'k Wh m<sup>-2</sup> yr<sup>-1</sup>'</p> <p> </p> <p>Fig8: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> 'Residual TPD ' 'W m<sup>-2</sup>'</p> <p> </p> <p>Fig9: Variables:</p> <p> 'Latitude' 'degrees'</p> <p> 'Longitude' 'degrees'</p> <p> '%AEP from total AEP '%'</p>
Changes in key traits versus depth and latitude suggest energy-efficient locomotion, opportunistic feeding and light lead to adaptive morphologies of marine fishes.
1. Understanding patterns and processes governing biodiversity along broad-scale environmental gradients, such as depth or latitude, requires an assessment of not just taxonomic richness, but also morphological and functional traits of organisms. Studies of traits can help to identify major selective forces acting on morphology. Currently, little is known regarding patterns of variation in the traits of fishes at broad spatial scales. 2. The aims of this study were: (i) to identify a suite of key traits in marine fishes that would allow assessment of morphological variability across broad-scale depth (50 – 1200 m) and latitudinal (29.15 – 50.91°S) gradients; and (ii) to characterise patterns in these traits across depth and latitude for 144 species of ray-finned fishes in New Zealand waters. 3. Here, we describe three new morphological traits: namely, fin-base-to-perimeter ratio, jaw-length-to-mouth-width ratio, and pectoral-fin-base-to-body-depth ratio. Four other morphological traits essential for locomotion and food acquisition that are commonly measured in fishes were also included in the study. Spatial ecological distributions of individual fish species were characterised in response to a standardised replicated sampling design and morphological measurements were obtained for each species from preserved museum specimens. 4. With increasing depth, fishes, on average, became larger and more elongate, with higher fin-base-to-perimeter ratio and larger jaw-length-to-mouth-width ratio, all of which translates into a more eel-like anguilliform morphology. Variation in mean trait values along the depth gradient was stronger at lower latitudes for fin-base-to-perimeter ratio, elongation and total body length. Average eye size peaked at intermediate depths (500-700 m) and increased with increasing latitude at 700 m. 5. These findings suggest that, in increasingly extreme environments, fish morphology shifts towards a body shape that favours an energy-efficient undulatory swimming style and an increase in jaw-length versus mouth width for opportunistic feeding. Furthermore, increases in eye size with both depth and latitude indicate that changes in both the average ambient light conditions as well as seasonal variations in day-length can act to select ecomorphological adaptations in fishes. 10-Oct-2019
Smart Energy Use Case Clustering Dataset - II
<p>Cluster data set for multilayered and contextualized smart energy blockchain traces</p>
Static Disorder in Excitation Energies of the Fenna-Matthews-Olson Protein: Structure-Based Theory Meets Experiment
<p>The files contain atomic coordinates of 5200 different conformations of the FMO protein in protein data bank (PDB) format. Each of the 16 zip file contains one directory with 325 PDB files, where each file contains the coordinates of one conformation of the FMO protein. These data were generated with the FIRST/FRODA method as described in Fokas, A.S., Cole, D. and Chin, A. W. Photosynth. Res. 2014, 122, 275-292. The data were used by the present authors to explain the inhomogeneous optical properties of the FMO protein.</p>
Zero-energy states in Majorana nanowire devices
<p>Measurement data, data processing scripts, and analysis scripts underlying the figures in chapter 6 and 7 of the doctoral dissertation titled "Zero-energy states in Majorana nanowire devices".</p> <p>This research was conducted at QuTech, Delft University of Technology, under the supervision of Leo Kouwenhoven.</p> <p>A digital version of the dissertation is available at:</p> <p><a href="http://www.repository.tudelft.nl">www.repository.tudelft.nl</a></p>
Energy consumption and renewable generation data of 5 aggregators - 15 minute resolution (13 bus grid)
<p>Type: Energy consumption and renewable generation data</p> <p>Period of data collection: 19-03-2019 to 25-03-2019 (15-minute 672 periods)</p> <p>Resolution: 15 minutes</p> <p>Network: 13-bus MV grid</p> <p>Aggregator list:</p> <ul> <li>Aggregator 1: Shopping Mall; Hospital; Fire Station</li> <li>Aggregator 2: 15 houses</li> <li>Aggregator 3: 7 Office buildings</li> <li>Aggregator 4: Wind, PV</li> <li>Aggregator 5: Slow and fast-charging stations of electric vehicles</li> </ul> <p>Further data:</p> <ul> <li>Market prices 2019 summer and winter</li> <li>Wind generation curve</li> </ul> <p>Data obtained from CENERGETIC project (<a href="http://www.gecad.isep.ipp.pt/CENERGETIC/">http://www.gecad.isep.ipp.pt/CENERGETIC/</a>)</p> <p>National Funds through the FCT—Portuguese Foundation for Science and Technology, under Project PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/00760/2020.</p>
GCAM-USA Raw Outputs for Khan et al. 2021 - Evolution of energy-water-agriculture interconnectivity across the U.S.
<p>GCAM-USA outputs for paper: Khan et al. 2021, Evolution of energy-water-agriculture interconnectivity across the U.S.</p>
Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks
<p>Dataset using for Time-Plan Optimization with Genetic Algorithm for Regain of Energy from Train Tracks</p>
Supplementary Data: Yarlagadda-etal_2022_energy_and_climate_change
<p>GCAM input files needed to run the scenarios in the paper "Climate and air pollution implications of potential energy infrastructure and policy measures in India".</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.