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4,230 results for “Energie”
Data from: Fascicles from energy-storing tendons show an age-specific response to cyclic fatigue loading
Some tendons, such as the human Achilles and equine superficial digital flexor tendon (SDFT), act as energy stores, stretching and recoiling to increase efficiency during locomotion. Our previous observations of rotation in response to applied strain in SDFT fascicles suggest a helical structure, which may provide energy-storing tendons with a greater ability to extend and recoil efficiently. Despite this specialization, energy-storing tendons are prone to age-related tendinopathy. The aim of this study was to assess the effect of cyclic fatigue loading (FL) on the microstructural strain response of SDFT fascicles from young and old horses. The data demonstrate two independent age-related mechanisms of fatigue failure; in young horses, FL caused low levels of matrix damage and decreased rotation. This suggests that loading causes alterations to the helix substructure, which may reduce their ability to recoil and recover. By contrast, fascicles from old horses, in which the helix is already compromised, showed greater evidence of matrix damage and suffer increased fibre sliding after FL, which may partially explain the age-related increase in tendinopathy. Elucidation of helix structure and the precise alterations occurring owing to both ageing and FL will help to develop appropriate preventative and repair strategies for tendinopathy.
Data from: Timing of head movements is consistent with energy minimization in walking ungulates
Many ungulates show a conspicuous nodding motion of the head when walking. Until now, the functional significance of this behaviour remained unclear. Combining in vivo kinematics of quadrupedal mammals with a computer model, we show that the timing of vertical displacements of the head and neck is consistent with minimizing energy expenditure for carrying these body parts in an inverted pendulum walking gait. Varying the timing of head movements in the model resulted in increased metabolic cost estimate for carrying the head and neck of up to 63%. Oscillations of the head–neck unit result in weight force oscillations transmitted to the forelimbs. Advantageous timing increases the load in single support phases, in which redirecting the trajectory of the centre of mass (COM) is thought to be energetically inexpensive. During double support, in which—according to collision mechanics—directional changes of the impulse of the COM are expensive, the observed timing decreases the load. Because the head and neck comprise approximately 10% of body mass, the effect shown here should also affect the animals' overall energy expenditure. This mechanism, working analogously in high-tech backpacks for energy-saving load carriage, is widespread in ungulates, and provides insight into how animals economize locomotion.
[BROKEN ATTACHMENT] Off-grid solar energy services enabled and evaluated through information technology
<p>Go to this version for the fixed attachment:</p> <p>https://zenodo.org/deposit/63871/</p>
Off-grid solar energy services enabled and evaluated through information technology
<p>zip file with code notebooks for paper.</p>
Molecular Dynamics Study of the Vibrational Energy Exchange Between Nanodiamond and N-butylpyridinium Tetrafluoroborate Ionic Liquid
<p>Nanofluids are composed of certain nanoscale object immersed in the molecular or ionic liquid. Nanofluids generally exhibit higher thermal conductivities, as compared to conventional fluids. Therefore, they are interesting to applications, in which thermal conductivity is a cornerstone. Hereby, molecular dynamics simulations were used to study an energy exchange in one of the possible nanofluids: N-butylpyridinium tetrafluoroborate based solution of nanodiamonds. The data are given in the form of energy components versus time and atomistic trajectories versus time at a number of temperatures. The simulations were conducted in the constant energy ensemble to avoid efects of temperature coupling and pressure coupling. The dataset possesses both research and educational values.</p>
Energy intake and energy expenditure of pre-professional female contemporary dancers: dataset S.1 supporting data
<p>Participant characteristics, energy and macronutrient intakes, energy expenditure, energy balance and energy availability. Excel (XLSX) Relevant raw data underlying the study findings presented in the article: </p> <p>Brown MA, Howatson G, Quin E, Redding E, Stevenson EJ (2017) Energy intake and energy expenditure of pre-professional female contemporary dancers. PLoS ONE 12(2): e0171998. doi:10.1371/journal.pone.0171998</p> <p> </p>
Supplementary material: New Zealand Energy Transition and Green Hydrogen Export
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Data and Codes for Kim et al. "Discovering the Multisectoral Impacts of the Global Energy Sector Outcomes through Diverse Cross-ensemble Aggregation Measures"
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A Review of Multi-Energy Systems from Resiliency and Equity Perspectives
<div> <p>This is the data for the comprehensive literature review on multi-energy systems and energy hubs from resilience and equity perspectives.</p> <p> </p> </div>
Data Repository - From net-zero to zero-fossil in transforming the EU energy system
<p>This is the data repository to reproduce the analysis of the manuscript "From net-zero to zero-fossil in transforming the EU energy system", which is currently under review for publication in a scientific journal. </p> <p>The source code for the REMIND version used in this study is available at <a href="https://github.com/fschreyer/remind/tree/FossilFree_master">https://github.com/fschreyer/remind/tree/FossilFree_master.</a> The scenario config file that was used to start the specific model runs of the analysis including all scenario-specific model settings can be found in the repository under <a href="https://github.com/fschreyer/remind/blob/FossilFree_master/config/scenario_config_fossilfree.csv">./config/scenario_config_fossilfree.csv</a>. The repository is a fork with slight changes relative to the main release version available at <a href="https://github.com/remindmodel/remind/tree/v3.3.1">https://github.com/remindmodel/remind/tree/v3.3.1</a> and <a href="https://zenodo.org/records/12104410">https://zenodo.org/records/12104410</a>. A general model documentation can be found at <a href="https://rse.pik-potsdam.de/doc/remind/3.2.0">https://rse.pik-potsdam.de/doc/remind/3.2.0</a>. </p> <p>The data repository contains the following files:</p> <p>data</p> <ul> <li>FossilFree_Plot.Rmd - R markdown file used for the analysis.</li> <li>AllScenarioData.mif - Data file containing REMIND scenario output data used for the analysis.</li> <li>MainFigures.xlsx - Data file containing all data plotted in main figures of the text.</li> <li>SIFigures.xlsx - Data file containing all data plotted in extended data figures and supplementary figures of the text.</li> <li>data folder: containing data and mapping files used for the FossilFree_Plot.Rmd script</li> <li>scripts folder: containing additional scripts and functions used in the FossilFree_Plot.Rmd script</li> </ul> <p>Note that we cannot provide the AR6 scenario data here. Please refer to <a href="https://zenodo.org/records/7197970">https://zenodo.org/records/7197970</a>. </p> <p>Disclaimer: We here publish a comprehensive dataset of our model output which includes more data than what is needed to reproduce the figures of the paper. Those data can be helpful to compare and contextualize our scenarios or use them for further analyses. However, due to the scope and complexity of our modeling framework, these data need to be used with care. The data used for the analysis of this study have been thoroughly validated. However, we cannot always perform such validation for the whole dataset and data need to treated with caution in particular at high regional or sectoral resolution and with respect to aspects that were not in the focus of the study as there maybe artefacts or limitations of our modeling approach. Please contact us in case you would like to use our scenarios for further analyses. We welcome open and constructive exchange on our data. </p> <p>Contact:<br>Felix Schreyer<br>Potsdam Institute for Climate Impact Research<br>felix.schreyer@pik-potsdam.de</p>
code, scripts and data for "Energy transfers in surface wave-averaged equations" by L. Czeschel and C. Eden
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"BUILDING THE FUTURE: ENERGY-EFFICIENT BUILDINGS AND LOW-CARBON TECHNOLOGIES"
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Light Power Resource Variability for Energy Harvesting Photovoltaics for Self-Powered IoT
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INNOVATIVE ENERGY SAVING AS A FORM OF INCREASING THE COMPETITIVENESS OF ENTERPRISES
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Acoustic Monitoring Dataset for Robotic Laser Directed Energy Deposition (LDED) of Maraging Steel C300
<p>This dataset presents a set of acoustic signals captured during a single-bead wall experiment in robotic Laser Directed Energy Deposition (LDED) using Maraging Steel C300. The acoustic data was recorded using a high-fidelity Prepolarized microphone sensor (Xiris WeldMIC), capturing the intricate sound profiles associated with the LDED process at a sampling rate of 44,100 Hz.</p><p><strong>Laser Directed Energy Deposition:</strong></p><p>This dataset was generated with a robotic LDED process that consists of a six-axis industrial robot (KUKA KR90) coupled with a two-axis positioner, a laser head, and a coaxial powder-feeding nozzle.</p><p> </p><p><strong>Folder Structure:</strong></p><ul><li><strong>/sample-1</strong>: The main folder for the experiment sample.<ul><li><strong>/audio_files</strong>: Contains 4624 <strong>.wav</strong> audio files, each representing a 40 ms chunk of the LDED process sound.</li><li><strong>/annotations_1.csv</strong>: A CSV file providing annotations for the audio files, labeling each as "Defect-free", "Defective", or "Laser-off".</li></ul></li><li>audio_features.h5: extracted acoustic features in time-domain, frequency-domain, and time-frequency representations (MFCC features). Feature extraction was conducted using Python Essentia Library.</li></ul><p> </p><p><strong>File Naming Convention:</strong></p><ul><li>Audio files within the <strong>audio_files</strong> folder are named following the pattern <strong>sample_ExperimentID_SampleID.wav</strong>. Given that there's only one experiment and one sample, the naming will be consistent, for example, <strong>sample_1_1.wav</strong> for the first file.</li></ul><p><strong>Annotation Details:</strong></p><ul><li>The <strong>annotations_1.csv</strong> file contains detailed labels for each audio file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.</li></ul><p><strong>Experimental Parameters:</strong> The dataset reflects a controlled experiment setup with the following specifications:</p><ul><li>Geometry: Single bead wall structure</li><li>Dimensions: 90 mm * 42.5 mm</li><li>Number of layers: 50</li><li>Laser beam diameter: 2 mm</li><li>Layer thickness: 0.85 mm</li><li>Stand-off distance: 12 mm</li><li>Laser profile: Gaussian</li><li>Laser wavelength: 1064 nm</li></ul><p><strong>Process Parameters:</strong></p><ul><li>Laser power: 2.3 kW</li><li>Speed: 25 mm/s</li><li>Dwell time: 0 s</li><li>Powder flow rate: 12 g/min</li></ul><p>This dataset aims to facilitate the development and testing of acoustic-based defect detection models for real-time quality monitoring in LDED processes. It can also serve as a reference point for further research on sensor fusion, machine learning, and real-time monitoring of manufacturing processes.</p>
Input files for T4 lysozyme free energy calculations with DMBIS non-bonded force field parameters
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Data from: The impact of base image selection on the energy efficiency of containerized applications in Docker
<p>Data collected from the workloads in <a href="https://github.com/btjiong/docker-energy">https://github.com/btjiong/docker-energy</a></p><p> </p>
Nodal LMP and Renewable Curtailment Data in Support of Unlocking the Potential of Renewable Energy Through Curtailment Prediction
<p>This data was collected to support research projects like the ones proposed in our presentation at the Climate Change Workshop at NeurIPS 2023, "Unlocking the Potential of Renewable Energy Through Curtailment Prediction"</p><p>Location Marginal Price (LMP) and renewable curtailment data are provided for two major ISOs in the US: SPP and ERCOT. Data covers the dates 2021-01-01 until 2023-09-30. All timestamps are provided in UTC, pricing information is in US Dollars and curtailment is provided in megawatts. This data was retrieved from the respective ISOs data portals and processed into a concise and collated format. Data provided here is copyright of the publishing ISO, and subject to their terms of use agreements. ERCOT's terms of use can be read <a href="https://www.ercot.com/help/terms">here</a>, and SPP's terms of use are available <a href="https://www.spp.org/terms-conditions/">here</a>. Both ISOs permit redistribution of their materials, but SPP requires express written authorization for commercial use.</p><p>We are not able to publish data for additional ISOs until we receive their permission to do so. However, we have compiled a table of locations where the ISOs publish the data in the document <a href="https://zenodo.org/api/records/10235806/draft/files/ISO_curtailment_LMP_data_availability.ods/content">ISO_curtailment_LMP_data_availability.ods</a></p>
Energy Perspectives 2050+ datapackage for unfold
<p>Dtapackage for unfold.</p>
Dataset for the publication "Land conservation and renewable energy transition are simultaneously possible in Brazil"
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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.