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4,230 results for “Energie”
Dataset: HighPeak Energy, Inc. (HPKEW) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER
<h1>ENECO PROCEEDİNGS OF ENERGY ECONOMİC RESEARCH CENTER</h1>
Audio Visual in-situ Monitoring Dataset for Laser Directed Energy Deposition (LDED) of Maraging Steel C300
<p>This dataset presents a set of acoustic signals and coaxial CCD images 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. The coaxial CCD melt pool images are captured at 30 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>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 provided in this demo dataset, the naming will be consistent, for example, <strong>sample_1_1.wav</strong> for the first file.</li> <li>Coaxial melt pool image files within the <strong>images </strong>folder are named following the pattern <strong>sample_ExperimentID_SampleID.jpg</strong>. </li> </ul> <p><strong>Annotation Details:</strong></p> <ul> <li>The <strong>annotations_1.csv</strong> file contains detailed labels for each audio file and image file, correlating to the conditions observed during the experiment, aiding in quick identification and analysis.</li> </ul> <p><strong>Handcrafted features for ML modelling:</strong></p> <ul> <li>The <strong>audio_features.h5</strong> file contains various physics-informed acousitc feature extracted through Python, which can be used for baseline ML modelling purpose.</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, or multi-sensor fusion-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>
Zambia Transport Energy Database (ZTED)
<p>Transport and energy database for Zambia covering energy, emissions and policy. Compiled as part of the Climate Compatible Growth (CCG) programme funded by the UK Foreign, Commonwealth & Development Office (FCDO)</p>
FIGURE 3 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 3. Remains of Paracentrotus lividus from Level A of the Is Mesas deposit (Late Pleistocene). A, 1) Fragment of test consisting of ambulacral and interambulacral plates still sutured together and showing interplate fracturing; 2) Isolated plates; 3) Fragments; 4) Spines. B, Large portion of ambulacral column showing intraplate fragmentation. C, Large portion of interambulacral column. D, Fragmented interambulacral plate. E, Madreporite. F, Hemipyramid. G, Rotula. H, Complete spine. A-C, H Scale bars equal 1 cm. E-G Scale bars equal 0.5 cm.
FIGURE 1 in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 1. Location of A, Late Pleistocene deposit of Is Mesas and B, Sa Mesa Longa Beach, Sardinia, Italy.
FIGURE 2. A in Tracking biases in the regular echinoid fossil record: The case of Paracentrotus lividus in recent and fossil shallow-water, high-energy environments
FIGURE 2. A, Field view of the Upper Pleistocene deposit of Is Mesas. B, Stratigraphic section of the deposit.
Code and data for "High Energy Density Picoliter-scale Zn-Air Microbatteries for Colloidal Robotics"
Open the record for dataset details and reuse information.
Fig. 1 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 1. Configuration of landmarks (red dot within yellow circles) as applied to all color pattern variation (CPV) grades of Cichla temensis. (1) the anterior point of the skull; (2) the anterior edge of the base of the first dorsal spine; (3) the center of the base of the 10 th dorsal spine; (4) the base of the first long ray of the second dorsal fin; (5) the base of the 9 th ray of the second dorsal fin; (6) the posterior point of termination of the second dorsal fin; (7) the posterior base of the anal fin; (8) the base of the 7th anal fin ray; (9) the anterior insertion of the anal fin; (10) the cloaca; (11) the ventral termination of the scale row emanating from the insertion of the 10th dorsal spine; (12) the ventral termination of the scale row emanating from the anterior point of the insertion of the pelvic fin.
Fig. 2 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 2. Thin-plate-spline deformation grids depicting (a) overall body shape differences between extremes of CPV grades (magnified 3x); (b) the increase in area at the bases of the second dorsal and anal fins between extremes of CPV grades (magnified 3x).
Fig. 4 in Geometric morphometric analysis of cyclical body shape changes in color pattern variants of Cichla temensis Humboldt, 1821 (Perciformes: Cichlidae) demonstrates reproductive energy allocation
Fig. 4. Height to length ratio of color pattern variants of Cichla temensis. The average height/SL ratio increased with CPV grade from a low of 0.2694 for CPV Grade 1 (paca), 0.2725 for CPV Grade 2, 0.2771 for CPV Grade 3 and 0.2822 for CPV Grade 4 (açu).
Urbach Energy and GB paper
Open the record for dataset details and reuse information.
Zero-Point-Energy Driven Isotopic Exchange of the [H3O]^- anion Probed by Mid-Infrared Action Spectroscopy
<p>Dataset associated with doi: 10.1021/jacs.4c05543</p>
data and code for Identification of mitochondrial energy metabolism genes associated with OSAS
Open the record for dataset details and reuse information.
Data set for "The energy landscapes of mini-dumbbell DNA octanucleotides"
<p>Data set for "The energy landscapes of mini-dumbbell DNA octanucleotides"</p>
Data for cluster generation for paper "Energy Storage Profit Risk under Stochastic Fuel Prices"
<p>This is a supplementary data for reproducibility. </p>
CO2 emission from energy, Manufacturing and Transport sector from Pakistan
<p>Pakistan's CO2 emission data from</p>
TemoaProject: Energy Storage Options for North Carolina
<p>This zenodo archive includes the Temoa code and data used to produce <a href="https://energy.ncsu.edu/storage/wp-content/uploads/sites/2/2018/12/NC-Storage-Study-FINAL.pdf">Energy Storage Options for North Carolina</a>. Temoa was used to evaluate the use of storage for bulk energy time shifting and peak capacity deferral, as described in Section 6.5.</p> <p>The data files are split into the capacity expansion and operational versions of the data. To begin, the capacity expansion runs are conducted to estimate the 2030 electricity generation mix in North Carolina. The optimal installed capacity is then fixed in the operational model, and the operational model is run to determine how storage with a fixed installed capacity and duration affects the objective function value. The change in objective function value, corresponding to the change in total system cost, is used to assess the net benefit associated with using storage for bulk energy time shifting and peak capacity deferral. (See report for more details.)</p> <p>The primary difference between the capacity expansion and operational versions of the model are the number of time slices. In the capacity expansion model, electricity supply and demand is balanced over a representative 24-hour period for each of the four seasons, for a total of 96 time slices per year. The operational model includes 8760 time slices per year, thereby representing every hour of the year, which allows us to better capture the value of storage.</p> <p>In terms of workflow, the capacity expansion runs were conducted with an input sqlite database file. Here we include the raw text-based sql file. It can be converted to a binary sqlite database file with the freely available sqlite program: https://www.sqlite.org. The results from the capacity expansion runs were automatically stored in the output tables associated with the same sqlite database. To run the operational version, capacity results are extracted from the capacity expansion sqlite file, and added to an input DAT file. These input DAT files are text-based files located in the scenario-specific folders for the operational runs. (Note that Temoa can run with either a sqlite or DAT file specified as input.)</p> <p>Each scenario folder for both the capacity expansion and operational runs also contain the config file used to run the model. Each model run was executed from the command line with the following syntax:</p> <p>$ python temoa_model/ --config=temoa_model/<config_file_name></p> <p>Note that the specific instance of the Temoa source code we ran corresponds to git commit hash 06edf7b883cee44ebd1129803f2145687c46bea0.<br> We verified the model code works with Pyomo versions 5.3 and 5.5.</p>
Grains-energy release governs debris flow high mobility
<p>These files include the data to generate Figs. 1-2 and 4 and Figs. S7-S13 in supporting information</p>
Thermal and electrical energy demands from energy meters and Measured values from sensors in an air handling unit and in the served lecture room of an university building
<p>The dataset consists of measured values from 2 different energy meters installed in the Alice Perry Building of the NUIG university in Galway, Ireland, which measure respectively: (1) the thermal energy for heating delivered to the distribution loop towards the heating radiators of the thermal zone of the west part of the building, where many offices, and some meeting rooms and lectures rooms are located (measuring time interval of 1 minute, from April 2018 to the end of February 2019); (2) electrical energy demand for the chillers serving the whole building (daily values, from January 2018 to the end of February 2019). </p> <p>The dataset also contains measured values of physical variables, states and operating conditions from a detailed layout of data-points installed in an air handling unit, in the outdoor environment and in the related served room, which is a lecture theatre in the Alice Perry Building of the NUIG university in Galway, Ireland. The data have been made available for the period from January 2018 to the end of February 2019, at the measuring time interval of 1 minute. The variables list, with their explanations and graphical schemes, is available as attachment. </p> <p>The data have been made available from the BMS database, thanks to the BEMServer open-source platform - <a href="http://www.bemserver.org">www.bemserver.org</a>, developed in the HIT2GAP project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement n. 680708 - <a href="http://www.hit2gap.eu">www.hit2gap.eu</a>.</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.