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4,230 results for “Energie”
Additional Data and Code from "Increased energy use for adaptation significantly impacts mitigation pathways".
<p>Additional Data and Code from: "Increased energy use for adaptation significantly impacts mitigation pathways".</p> <p>Authors: Francesco Pietro Colelli, Johannes Emmerling, Giacomo Marangoni, Malcolm Mistry, Enrica De Cian</p> <p>This repository contains:</p> <p>- The output data and R-scripts to produce the figures of the manuscript.</p> <p>- The code building the additional WITCH modules and input data generated. The results obtained in the study can be replicated by running the additional WITCH modules and input data in combination with the open source WITCH available in the repository: https://github.com/witch-team/witchmodel</p> <p> </p>
Datasets for the publication " Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil"
<p>This repository contains the datasets for the publication "Enhancing drought resilience and energy security through complementing hydro by offshore wind power - the case of Brazil".</p> <ul> <li><strong>Bias correction</strong></li> <li>Technical data of existing farms (ABBEólica) </li> <li>Bias correction factors at the farm level</li> </ul> <p> </p> <ul> <li><strong>Demand</strong></li> <li>Simulated wind and solar power</li> <li>Biomass, nuclear, and small hydropower generation in 2019</li> <li>Raw demand data</li> <li>Updated demand </li> </ul> <p> </p> <ul> <li><strong>Hydropower time series</strong></li> <li>Affluent Natural energy of run-of-rivers (fio d'água, in Portuguese) and reservoirs (reservatórios, in Portuguese), installed capacity, and maximal storage</li> </ul> <p> </p> <ul> <li><strong>Offshore wind farms</strong></li> <li>Locations, coordinates, water depth, available areas, water depth, distance to shore, technology,and maximal capacity;</li> <li>Code to estimate offshore wind farm capex and opex.</li> </ul> <p> </p> <ul> <li><strong>Results of Calliope model </strong></li> <li>capacity</li> <li>carrier_prod (power generation)</li> <li>storage</li> <li>costs</li> <li>emissions</li> </ul> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Dataset from: An intuitive form of the energy functional for resistive plasma perturbations
<p>The energy functional of ideal magnetohydrodynamics (MHD) is extended to the regime of finite resistivity and transformed to an intuitive form, which separates pressure-gradient, current-density drive and stabilizing phenomena, analogously to the ideal version of the functional derived by Johnson and Greene. The resulting resistive energy functional is not in the form of a solvable eigenvalue problem but is intended to analyze the energetic composition of eigenfunctions which were calculated in advance by solving the MHD equations. The new resistive energy functional provides information on the different energetic drives and stabilizing phenomena of an eigenfunction. The new energy functional has been implemented in the CASTOR3D code in general 3D curvilinear coordinates and successfully validated across three different coordinate systems for a numerical test case.</p>
Transmission and Distribution Substation Energy Management Considering Large-Scale Energy Storage, Demand Side Management and Security-Constrained Unit Commitment
<p>Data used in "Transmission and Distribution Substation Energy Management Considering Large-Scale Energy Storage, Demand Side Management and Security-Constrained Unit Commitment".</p>
Supporting Information - Estimating thermal energy loads in remote and northern communities to facilitate a net-zero transition
<p>This file accompanies "A method for estimating thermal energy loads in Canada’s remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Calculations and thermal loads of 40 communities discussed in the above paper</li> <li>Heating Degree Hour (HDH) distribution calculations</li> <li>Diagnostics and dataset used for developing a model for predicting annual and monthly thermal loads using ordinary least squares regression</li> </ul>
Supporting Information - Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities
<p>This file accompanies "Optimizing hydrogen microgrids to facilitate diesel exit and meet the energy needs of remote and northern communities" by Ian Maynard and Ahmed Abdulla.</p> <p>This supporting information contains:</p> <ul> <li>Nomenclature</li> <li>Data inputs</li> <li>Cost ratios used in cost calculations</li> <li>References</li> <li>Optimization results of 40 communities discussed in the paper above</li> </ul>
Direct observational evidence of an oceanic dual kinetic energy cascade and its seasonality
<p>Codes for the analysis and figure generation for drifter data</p>
Data and analysis for the paper "Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots"
<p>This repository contains the raw data and analysis code used to generate the figures in the manuscript <em>Nonlocal measurement of quasiparticle charge and energy relaxation in proximitized semiconductor nanowires using quantum dots</em>. </p> <p><a href="https://journals.aps.org/prb/abstract/10.1103/PhysRevB.106.064503">Link to publication</a></p> <p><a href="https://arxiv.org/abs/2110.05373">Link to arXiv</a></p>
Datasets for the "Qualitative and Quantitative Analyses of the Research on Renewable Energy based on Hydrogen" paper
<p>This dataset is used in preparing the "Qualitative and Quantitative Analyses of the Research on Renewable Energy based on Hydrogen" bibliometric study. Please cite the original paper whenever using this dataset. The data were collected from the SCOPUS database. The data were collected on February 5, 2022. The data collection procedures were completed in a single day, to minimize deviations caused by frequent database updates.</p>
Nutrient balance and energy-acquisition effectiveness: Do birds adjust their fruit diet to achieve intake targets?
<p>1. According to diet-regulation hypotheses, animals select food to regulate the intake of macronutrients or maximise energy feeding efficiency. Specifically, the nutrient balance model proposes that foraging is primarily a process of balancing multiple nutrients to achieve a nutritional intake target, while the energy maximisation model proposes that foraging aims to maximise energy.</p> <p>2. Here, we evaluate the adjustment of fruit diets (the fruit-derived component of the diets) to nutritional and energy intake targets, characterizing the nutrient balance and energy maximisation strategies across fruit-eating bird species with different fruit-handling behaviours ("gulpers", which swallow whole fruits, and "mashers", which process the fruit in the beak) in subtropical Andean forests. Food-handling behaviour determines the food intake rate and, consequently, influences animal efficiency to obtain nutrients and energy.</p> <p>3. We used extensive field data from the diet of fruit-eating birds to test how species adjust their food intake. We used nutritional geometry to explore macronutrient balance and the effectiveness framework to explore energy-acquisition effectiveness.</p> <p>4. Observed diets showed a good fit with predictions of a diet balanced in macronutrient proportions. With few exceptions, diets clustered near an optimal macronutrient mixture and did not differ from each other in terms of maximising energy intake. Moreover, when comparing our results with a random diet based on local fruit availability, birds tended to fit better to the nutritional target, and less to the energy target, than expected from a random diet. Fruit-handling behaviour did not affect the ability of bird species to reach a nutritional target but it affected species energy acquisition, which was lower in mashers than in gulpers.</p> <p>5. This study explores for the first time different diet-regulation strategies in wild fruit-eating birds, and supports the argument that the diet reflects a specific regulation of macronutrients. Understanding why birds select fruits is a complex question requiring multiple considerations. The nutrient balance model explains the relevance of nutrient composition in the fruit selection by fruit-eating birds, although it is still necessary to determine its relative importance with respect to other dietary drivers.</p>
Original data for publications: Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte, Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications, Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2
<p>Original data for the following papers (Only part of University of Geneva, synthesis part):</p> <p>Direct solution–based synthesis of the Na4(B12H12)(B10H10) solid electrolyte<br> Gigante, A.; Duchêne, L.; Moury, R.; Pupier, M.; Remhof, A.; Hagemann, H.<br> ChemSusChem 2019, 12, 4832-4837</p> <p>Experimental investigation of Mg(B3H8)2 dimensionality, materials for energy storage applications<br> Romain Moury, Angelina Gigante, Arndt Remhof, Elsa Roedern and Hans Hagemann<br> Dalton Trans., 2020,49, 12168-12173, https://doi.org/10.1039/D0DT02170A</p> <p>Thermal Conversion of Unsolvated Mg(B3H8)2 to BH4– in the Presence of MgH2<br> Angelina Gigante, Noemi Leick, Andrew S. Lipton, Ba Tran, Nicholas A. Strange, Mark Bowden, Madison B. Martinez, Romain Moury, Thomas Gennett, Hans Hagemann, and Tom S. Autrey<br> ACS Appl. Energy Mater. 2021, 4,3737-3747. https://doi.org/10.1021/acsaem.1c00159</p> <p> </p>
SESMG scenario-files of the study "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution"
<p>This dataset contains model scenario-files belonging to the publication "Model-based run-time and memory reduction for a mixed-use multi-energy system model with high spatial resolution".</p> <p>The individual scenarios can be executed and evaluated with the "Spreadsheet Energy System Model Generator" (<a href="https://github.com/chrklemm/SESMG">SESMG</a>) <a href="https://github.com/chrklemm/SESMG/tree/v0.4.0rc1">v0.4.0rc1</a></p> <p>The respective file names indicate to which model run mentioned in the main study the scenario-files belong. For model runs for which no sepparate scenario file exists, the scenario "reference.xlsx" with adjusted SESMG settings was used.</p> <p> </p>
Binding Energies of Interstellar Relevant S-bearing Species on Water Ice Mantles: A Quantum Mechanical Investigation
<p>This Supporting Material contains:</p> <ul> <li>Fractional coordinates of DFT optimized adsorption complexes for crystalline periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code;</li> <li>Fractional coordinates of HF-3c optimized adsorption complexes for amorphous periodic ice models in <a href="https://www.moldraw.unito.it/_sgg/m1m1s43_1.htm">.mol</a> format, editable with <a href="http://www.moldraw.unito.it/">MOLDRAW</a>, using <a href="http://www.crystal.unito.it/">CRYSTAL17</a> computer code;</li> <li>Images of the adsorption features at crystalline periodic ice models, in which electrostatic potential maps, spin density maps (when available) and vibrational features are displayed;</li> <li>A pdf file with a thorough guide to the computation of BEs and the basis sets employed for the calculations.</li> </ul> <p> </p>
Data release for "Measurements of muon-antineutrino and muon-neutrino+muon-antineutrino charged-current cross-sections without detected pions nor protons on water and hydrocarbon at mean antineutrino energy of 0.86 GeV"
<p>This data release is associated with the publication "Measurement of charged-current cross-sections on water and hydrocarbon without detected pions nor protons using the T2K anti-neutrino beam at an off-axis angle 1.5 degrees". It is available in <a href="https://doi.org/10.1093/ptep/ptab014">Progress of Theoretical and Experimental Physics</a> and <a href="https://arxiv.org/abs/2004.13989">arXiv:2004.13989 [hep-ex]</a>.<br><br>The data release contains:</p> <ul> <li>The "histograms.root" file contains several histograms related to the cross-sections. <ul> <li>flux_numubar_* -> 1D histogram with the flux prediction at the WAGASCI module or the Proton Module of the T2K experiment.</li> <li>flux_numu_* -> 1D histogram with the flux prediction at the WAGASCI module or the Proton Module of the T2K experiment.</li> <li>Err_numubar_* -> 1D TGraphAsymmErrors with the measured flux-integrated numubar cross-sections and their uncertainties.</li> <li>Err_numu_numubar_* -> 1D TGraphAsymmErrors with the measured flux-integrated numu+numubar cross-sections and their uncertainties.</li> <li>xsec_numubar_* -> 1D histogram with the predicted flux-integrated numubar cross-sections by NEUT (5.3.3).</li> <li>xsec_numu_numubar_* -> 1D histogram with the predicted flux-integrated numu+numubar cross-sections by NEUT (5.3.3).</li> </ul> </li> <li>The "Covariance_Matrix_Numubar.root" file contains the covariance matrix for the flux-integrated numubar cross-sections, considering all the uncertainties.</li> <li>The "Covariance_Matrix_Numu+Numubar.root" file contains the covariance matrix for the flux-integrated numu+numubar cross-sections, considering all the uncertainties.</li> <li>The "flux" file contains the (anti-)muon neutrino flux prediction at the WAGASCI module or the Proton Module of the T2K experiment</li> </ul>
Simulation Results of the Distributed Schedule Optimization with Energy Storages using EO-COHDA
<p>This dataset contains the result of the evaluation of an approach to integrate energy storages in distributed flexibility negotiations. The data was created using the implemented approach on https://gitlab.com/digitalized-energy-systems/models/eo-cohda. To work with this results we highly recommend to use eo-cohda as well, because it provides a lot convenient utility functions for this.</p> <p>The dataset has been divided in two parts:</p> <ol> <li>the result of the negotiation, <ul> <li>format: hdf, readable using hdf-viewers/python</li> </ul> </li> <li>the generated schedules of the energy storages used for the negotiation. <ul> <li>format: binary, pickled real power schedules, readable using eo-cohda's utility methods.</li> </ul> </li> </ol> <p> </p>
Parameter variability across different timescales in the energy balance-based model and its effect on evapotranspiration estimation
<p>Our dataset is for the manuscript "Parameter variability across different timescales in the energy balance-based model and its effect on evapotranspiration estimation". It includes the instantaneous and daily <em>z<sub>0m</sub></em>, <em>z<sub>0h</sub></em>, <em>g<sub>s</sub></em>, and <em>EBR</em>, which are derived from FLUXNET2015 dataset. The training and test datasets for building the data-driven parameter models are also uploaded.</p>
Prey-driven behavioral habitat use in a low-energy ambush predator
<p>Food acquisition is an important modulator of animal behavior and habitat selection that can affect fitness. Optimal foraging theory predicts that predators should select habitat patches to maximize their foraging success and net energy gain, likely achieved by targeting areas with high prey availability. However, it is debated whether prey availability drives fine-scale habitat selection for predators. We assessed whether an ambush predator, the timber rattlesnake (<i>Crotalus horridus</i>), exhibits optimal foraging site selection based on the spatial distribution and availability of prey. We used passive infrared camera trap detections of potential small mammal prey (<i>Peromyscus</i> spp., <i>Tamias striatus</i>, and <i>Sciurus</i> spp.) to generate variables of prey availability across the study area and used whether a snake was observed in a foraging location or not to model optimal foraging in timber rattlesnakes. Our models of small mammal spatial distributions broadly predicted that prey availability was greatest in mature deciduous forests, but <i>T. striatus</i> and <i>Sciurus</i> spp. exhibited greater spatial heterogeneity compared to <i>Peromyscus</i> spp. We found the spatial distribution of cumulative small mammal encounters (i.e. overall prey availability), rather than the distribution of any one species, to be highly predictive of snake foraging. Timber rattlesnakes appear to forage where the probability of encountering prey is greatest. Our study provides evidence for fine-scale optimal foraging in a low-energy, ambush predator and offers new insights into drivers of snake foraging and habitat selection. </p>
Effects of increasing levels of whole Black Soldier Fly (Hermetia illucens) larvae in broiler rations on acceptance, nutrient and energy intakes and utilization, and growth performance of broilers
<p>Dataset for the experiments to evaluate feed and black soldier fly larvae (BSFL) eating rates, nutrient and energy intakes, and utilization and growth performance of broilers. Chicks received the whole BSFL at 10%, 20%, or 30% of the feed intake of control chickens that received no BSFL but only age-specific diets. <a href="https://doi.org/10.1016/j.psj.2022.102202">https://doi.org/10.1016/j.psj.2022.102202</a></p>
Revisiting the Milky Way — White Hole Binary with Energy Backlash and White Hole Seed Signature
<p>The observation made on Sep 25, 2022 on Harvard-Smithsonian MicroObservatory detected a white hole binary with white hole seed signatures in the collision momentum. A wide area of tree-shaped energy backlash were detected due to the high energy phenomenon with the angular momentum of the observation. The scattering of miniature black holes and miniature white holes was the main composition of the observation data, and contributed to the overall interference patterns in the observational result. The cluster formation in the observation mainly originated from between 948 and 999 Kelvins, and the energy backlash to the lower thermodynamic regime. The resonance signatures on the star systems above ~1360 Kelvins were observed, with lower surface threshold located between 1143 and 1263 Kelvins. The observation is consistent with the observation made on the Ring Nebula M57 on Jun 12, 2022, with silhouettes of the white hole seed and black hole seed collision momentum between 0 and 73.7 Kelvins. The observations confirmed the geodesics of ring singularity of black hole studies to be the collision momenta of black hole and white hole seeds.</p>
Data for: Industrial energy development decouples ungulate migration from the green wave
<p>The ability to freely move across the landscape to track the emergence of nutritious spring green-up (termed "green-wave surfing"), is key to the foraging strategy of migratory ungulates. Across the vast landscapes traversed by many migratory herds, habitats are being altered by development with unknown consequences for surfing. Using a unique long-term tracking dataset, we found that when energy development occurs within mule deer (<em>Odocoileus hemionus</em>) migration corridors, migrating animals become decoupled from the green wave. During the early phases of a coalbed natural gas development, deer synchronized their movements with peak green-up. But faced with increasing disturbance as development expanded, deer altered their movements by holding up at the edge of the gas field and letting the green wave pass them by. Development often modified only a small portion of the migration corridor but had far-reaching effects on behavior before and after migrating deer encountered it, thus reducing surfing along the entire route by 38.65% over the 14-year study period. Our study suggests that industrial development within migratory corridors can change the behavior of migrating ungulates and diminish the benefits of migration. Such disruptions to migratory behavior present a common mechanism whereby corridors become unprofitable and could ultimately be lost on highly developed landscapes.</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.