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326 results for “electricity data”
Processed Data of "Selective laser melting of a Fe-Si-Cr-B-C-based complex-shaped amorphous soft-magnetic electric motor rotor with record dimensions"
<p>This data set includes the processed data of the pubblication. ABSTRACT: A record large amorphous rotor bearing an intricate 3D-geometry is produced through additive manufacturing via selecting laser melting using a powder of a traditional bulk metallic glass-forming composition of the Fe-Si-Cr-B-C system. Not only does this technique overcome the technical limitations characteristic of casting processes for amorphous alloys, but the possibility to print complex 3D geometries is expected to greatly facilitate the channeling of the magnetic flux, when such component is used as a rotor in an electric machine. The as-built part is characterized in comparison to the powder material as well as as-spun ribbons using a wide range of complementary techniques, including synchrotron x-ray diffraction, calorimetry, electron microscopy as well as room temperature ferromagnetic and hardness testing. The built part has extraordinarily high values of hardness (877 HV) and remarkable high magnetic susceptibility (9.17). This latter feature leads to a better magnetic response in the presence of an external magnetic field evidenced by a faster approach to saturation. The coercivity is small (0.51 kA/M) and the magnetic saturation relatively high (1.29 T). In addition, a large anisotropic effect on the magnetization reaction in connection with the partial crystallization in the melt pool areas is investigated experimentally.</p>
Data for "Do electric vehicles mitigate urban heat? The case of a tropical city"
<p>This dataset contains the underlying data used in the publication "Do electric vehicles mitigate urban heat? The case of a tropical city", which is under review in <em>Front. Environ. Sci. .</em></p> <p>The dataset includes two folders:</p> <p>1. <strong>data</strong> <br> Include COSMO-DCEP-BEP model inputs and output needed to reproduce the results in the manuscript (NetCDF). </p> <p>2. <strong>script</strong><br> Include post-processing scripts used to generate the figures in the manuscript (Jupiter Python 3 Notebook).</p> <p><em> </em></p>
2021 electricity and heat demand data for a city district (Belgium)
<p>Dataset of electricity and heat demand in a city district in Belgium. For the time period of the data, the district was still under construction and no full inhabitation of the buildings was present. Electricity data include electricity demand for:</p> <ul> <li>Individual households</li> <li>EV charging stations</li> <li>Decentralised waste water treatment</li> <li>Heat pump</li> <li>District heating pumps</li> <li>Vacuum network pumps</li> <li>Miscellaneous</li> </ul> <p>'Total' in the electricity dataset (ElectricPower) refers to the sum of the separate time series. 'Total measured' is a measurement of the total electricity use (in W). Data is averaged out over 15 minutes and expressed in kiloWatt before June 6, in Watt after that date. The electricity demand for the individual households (ElectricPowerPrivateUnits) is expressed in Watt for the complete period.</p> <p>The heat demand data (HeatDemand) describes the heat demand of the complete district, i.e. all private living units as well as common areas, office buildings, sports hall... Like electricity demand data, heat demand data is averaged out over 15 minutes and expressed in kiloWatt before June 6, in Watt after that date.</p> <p> </p> <div> </div>
Supporting data for the Total ELectricity Loads (TELL) model
<p>This is the raw data supporting the Total ELectricity Loads (TELL) model developed by the Integrated Multisector Multiscale Modeling (IM3) project led by Pacific Northwest National Laboratory. Information about the model itself and code to extract and work with this raw data can be found at: https://github.com/IMMM-SFA/tell.</p> <p>There are five core datasets in this package:</p> <p>1) EIA_930 contains data on hourly electricity demand for 68 balancing authorities in the U.S.</p> <p>2) EIA_861 contains an annual summary of the characteristics of the power industry in the U.S.</p> <p>3) Population contains annual estimates of county- and state-level population in the U.S.</p> <p>4) County_Shapefiles contains a set of shapefiles that define county boundaries for counties in the U.S.</p> <p>4) State_Shapefiles contains a set of shapefiles that define state boundaries for states in the U.S.</p>
Historic data of the national electricity system transitions in Europe in 1990–2019 for retrospective evaluation of models [dataset]
<p>This data package supports empirical analysis of national electricity system transitions and retrospective evaluation of electricity system models in 1990–2019 in 31 European countries, including the EU27, Switzerland, Iceland, Norway, and the United Kingdom. The data package covers two types of content. Firstly, we provide an annotated list of 528 original data sources and references relevant for retrospective electricity system modeling with emphasis on open-access sources. Secondly, we provide a total of 1359 processed and harmonized data files in a format that is suitable as inputs to electricity system models. Four types of data files are included for each country: (i) a country file documenting national demand and economic data, (ii) technology files describing techno-economic data for each major generation technology in the country's electricity mix, (iii) resource files describing fuel prices and CO2 emissions for each fuel, and (iv) load profiles describing 24-hour national load curves for each available year. We provide these data files as comma-separated files to enable their wider reuse for retrospective evaluation of models as well as for empirical analyses of the European electricity system transitions. </p>
Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"
<p>Open data for the article "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition", which will be published in Open Research Europe</p>
PCF05: fMRI data in a Pavlovian delay threat conditioning task with four visual CS with different rates of electrical US
<p>This data set includes selected functional magnetic resonance imaging (fMRI) data supplementing an article. The data include: </p> <ol> <li>Untresholded Statistical Parametric Maps (SPMs) and beta images (BOLD signal estimates) for relevant contrasts for the GLMs reported in the article</li> <li>Region-of-interest (ROI) masks: anatomical ROIs with combined hemispheres, and masks created from significant BOLD signal clusters from the whole-brain analyses</li> <li>Summary data files for mean beta (BOLD signal estimate) values and their within-subject errors for each ROI</li> <li>A compilation Excel sheet of condition-wise BOLD parameter estimates and standard errors from previous axiomatic aversive prediction error studies, and associated effect sizes as well as sample sizes from a power analysis. </li> </ol> <p>Details of the experimental paradigm as well as of the fMRI data acquisition and analysis can be found in the associated article. </p>
Nonvolatile Electric-Field Control of Inversion Symmetry: Manuscript Data
<ul> <li>Relevant Raw Data files for Main Text Figures of "Nonvolatile Electric-Field Control of Inversion Symmetry."</li> <li> <p>Relaxation input and output files of the polar & antipolar phases (including structure .cif files) and the input and output files of the DOS calculation from Main Text Fig. 3</p> </li> </ul>
Data for "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. 132, 124401 (2022)
<p>Data required to reproduce the key results in: "High-accuracy determination of Paul-trap stability parameters for electric-quadrupole-shift prediction", J. Appl. Phys. <strong>132</strong>, 124401 (2022). <a href="https://doi.org/10.1063/5.0106633">https://doi.org/10.1063/5.0106633</a></p> <ul> <li>The file "sec_freq.dat" contains measured secular frequencies, the rf frequency, the applied bias voltages, and the MJD of the measurement: <ul> <li>Figures 4-5 use rows 31-33 of this data.</li> <li>Figure 6 uses all data corresponding to -1.1e-3 < <em>a</em><sub>x</sub> < -0.6e-3.</li> <li>Figure 7(a) uses all the data.</li> </ul> </li> <li>The file "data2021-12-21_MJD.txt" contains the secular frequency data used to derive Eq. (16) and plot Figure 8.</li> <li>The file "RF_monitor_rectifier_1d.txt" contains the rectified monitor voltage used in Figure 8.</li> <li>The file "Temperature_108_1d.txt" contains the helical-resonator temperature used in Figure 8.</li> <li>The file "Fig9_EQS.dat" contains the measured electric quadrupole shift (EQS) used for Figure 9.</li> <li>The file "interleavedEQS.dat" contains the data from the interleaved EQS measurement used to determine a lower value of 1070 for the cancellation factor.</li> </ul>
Data for "Basic microstructural, mechanical, electrical and optical characterisation of BaTiAl6O12 ceramics"
<p>The dataset contains several folders that provide open data files for the manuscript "Basic microstructural, mechanical, electrical and optical characterisation of BaTiAl6O12 ceramics".</p>
Data Sets "Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters"
<p>Data Sets "Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters"</p>
Data and results for manuscript: "Imaging and functional characterization of crop root systems using spectroscopic electrical impedance measurements"
<p>This package contains measured raw EIT data, electrical imaging results, spectral results from the Debye decomposition, and the Python scripts used to generate the plots in the manuscript titled:<br> <br> Imaging and functional characterization of crop root systems using spectroscopic electrical impedance measurement</p>
Data and results for manuscript "Small scale characterization of vine plant root water uptake via 3D electrical resistivity tomography and Mise-à-la-Masse method"
<p>This package contains measured raw ERT and MALM data used to generate the plots in the manuscript.</p> <p> </p>
Data sample from Israel Electric Corporation (IEC)
<p>The dataset contains logs from IT and OT systems collected from a testbed setup of the IEC.<br> The content is specifically related to:</p> <p>·CCTV and PTZ cameras.</p> <p>·Intrusion detection system (IDS).</p> <p>·Access control system.</p> <p>·Proximity cards and sensors.</p>
Time Variable Ionospheric Electric Field Model (TiVIE) light data v 1.0
<p>This is the TiVIE light data to accompany TiVIE model v 1.0 produced by Maria-Theresia Walach, Lancaster University for the publication Walach, M.-T., and Grocott, A. (submitted 2024). </p>
Data for "Site-Specific Management Zones Delineation Based on Apparent Soil Electrical Conductivity in Two Contrasting Fields of Southern Brazil"
<p>This dataset contains soybean yield, soil property values, and apparent electrical conductivity (ECa) from two farms located in the South of Brazil. The data description and methods can be found in the paper:</p> <p><strong>Bottega, E. L., Safanelli, J. L., Zeraatpisheh, M., Amado, T. J. C., Queiroz, D. M. de, & Oliveira, Z. B. de. (2022). Site-Specific Management Zones Delineation Based on Apparent Soil Electrical Conductivity in Two Contrasting Fields of Southern Brazil. In Agronomy (Vol. 12, Issue 6, p. 1390). MDPI AG. https://doi.org/10.3390/agronomy12061390</strong></p> <p>Abstract:</p> <p>Management practices that aim to increase the profitability of agricultural production with minimal environmental impact must consider within-field soil variability, and this site-specific management can be addressed by precision agriculture (PA). Thus, this work aimed to investigate which key soil attributes are distinguishable management zones (MZ) delineated based on the soil apparent electrical conductivity (ECa), using fuzzy k-means, in two fields with contrasting soil textures in southern Brazil. For this, a grid scheme (50 × 50 m) was applied to measure ECa, conduct soil sampling for analysis, and determine soybean yield. The MZ were delineated based on the ECa spatial distribution, and statistical non-parametric tests (p < 0.05) were employed to compare the soil chemical and physical attributes among MZ. The management zones were able to distinguish the average values of Clay, Silt, pH, Ca<sup>2+</sup>, Mg<sup>2+</sup>, SB, Al<sup>3+</sup>, H<sup>+</sup> + Al<sup>3+</sup>, AS%, and BS%. In the field classified as sandy clay loam texture, management zones were able to differentiate the average values of soybean yield, Clay, Ca<sup>2+</sup>, Mg<sup>2+</sup>, SB, and CEC. Thus, this study supports the ECa as an efficient tool for delineating MZ of contrasting cropland soils in southern Brazil to understand the within-field soil variability and adjust the inputs accordingly.</p>
Arcing Fault Electrical Signatures Data Base - Sinusoidal power supply (230 V - 400 Hz) - Resistive loads - part 1
<p>The dataset contains series arc faults voltage and current signatures in a AC low power network.</p> <p>Sinusoidal power supply (230 V – 400Hz, 600Hz and 800Hz) - Resistive Loads</p> <p>The data provided can be used for the development of methods for the detection of arcing faults.</p> <p>The data files are current and voltage signatures experimentally measured.</p> <p>Two technique are used to produce an arcing fault : Open contact electrodes and Carbonized path wires</p> <p>The ReadMe file describes :</p> <p>- the test set up and the the procedure followed to make the measurements</p> <p>- the name of the data files</p> <p>- the type of arcing faults</p>
Bagoue dataset-Cote d'Ivoire: Electrical profiling, electrical sounding and boreholes data
<p>Bagoue region lies between longitudes 6° and 7° W and latitudes 9° and 11° N in the north of Cote d’Ivoire. The geophysical and boreholes data were collected from National Office of Drinking Water (ONEP) and West-Africa International Drilling Company (FORACO-CI) during the Presidential Emergency Program (PPU) in 2012-2013 and the National Drinking Water Supply Program (PNAEP) in 2014. During the progress of both projects, the electrical methods is the most used especially the resistivity profiling and the electrical sounding methods. Originally, data were used for Groundwater Flow Rate (GFR) prediction using a Support Vector Machines(SVMs).</p>
Supplementary materials (processed data) for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies."
<p>Processed data for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies."</p>
Supplementary materials (raw data) for paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies"
<p>Raw data (B&K 891, C60 and VNA instruments) for the paper "Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies"</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.