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326 results for “electricity data”

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zenodo36/100

Data and software for "Metal Pad Sensing: exploiting the electrical double layer to improve resistance-based microfluidic cell tracking, with applications to label-free mechanophenotyping"

<p>Data and software for "Metal Pad Sensing: exploiting the electrical double layer to improve resistance-based microfluidic cell tracking, with applications to label-free mechanophenotyping"</p>

opencc-by-4.0Nov 2024View details →
zenodo36/100

Data and code for articles on the seasonal variation of the DC global electric circuit

<p>In this repository you can find the measurement and modelling data, the research code, and a comprehensive description of the code developed for two papers on the seasonal variation of the DC global electric circuit.</p> <p>First paper (<strong>Part 1: A new analysis based on long-term measurements in Antarctica</strong>) focuses on the seasonal variation of the global electric circuit (GEC) based on electric field measurements at the Vostok station in Antarctica during 2006&ndash;2020.</p> <p>Second paper (<strong>Part 2: Further analysis based on simulations</strong>) further analyses the seasonal variation of the GEC on the basis of simulations with models of atmospheric dynamics.</p> <p>An extended description, including a brief overview of the script code and a description of the data files, is provided in the attached archive in the <code>readme.md</code> file.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Raw data collection for the publication  P. Pötschke, T. Villmow, B. Krause and B. Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites

<p>This data collection contains the raw data for the publication&nbsp;<br>Petra P&ouml;tschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar, Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites, <strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p> <p>The data are sorted according to the figures and tables in which they are used.</p> <p>The description in Table 1 is taken from the reference:<br>Villmow, T.; Kretzschmar, B.; P&ouml;tschke, P. Influence of screw configuration, residence time,&nbsp;<br>and specific mechanical energy in twin-screw extrusion of polycaprolactone/multi-walled carbon nanotube composites. Compos. Sci. Technol. 2010, 70, 2045-2055. doi: https://doi.org/10.1016/j.compscitech.2010.07.021.</p> <p>Figure 15 is adapted from the references:<br>Krause, B.; Boldt, R.; P&ouml;tschke, P. A method for determination of length distributions of multiwalled carbon nanotubes before and after melt processing. Carbon 2011, 49, 1243-1247, https://doi:10.1016/j.carbon.2010.11.042.<br>and<br>Liebscher, M.; Domurath, J.; Krause, B.; Saphiannikova, M.; Heinrich, G.; P&ouml;tschke, P. Electrical and melt rheological characterization of PC and co-continuous PC/SAN blends filled with CNTs: Relationship between melt-mixing parameters, filler dispersion, and filler aspect ratio. Journal of Polymer Science Part B: Polymer Physics 2018, 56, 79-88, https://doi:10.1002/polb.24515.<br>The data are reused with permissions.&nbsp;</p> <p>The raw data (TEM images) used for the calculation of the carbon nanotube length distributions and mean carbon nanotube length values shown in Figs. 4, 11, 13, 16, and 17 are publically available at:&nbsp;Krause, B. (2024). Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites [Data set]. Zenodo. https://doi.org/10.5281/zenodo.11400466</p> <p>Version v2:</p> <p>Compared to the submitted figure, in the final version in<strong> Fig. 9 </strong>the sample using the side feeder (PC-H-05) was removed and two samples extruded at 15 kg/h and 750 rpm (PC-H-25) and 1000 rpm (PC-H-26) were added. In the text-file the unit of GPa for the elastic modulus was corrected to MPa.&nbsp;</p> <p>Compared to the submitted Table, in the final version of <strong>Table 2 </strong>the electrical resistivity values were given in more detail including the standard deviation. The column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.</p> <p>Compared to the submitted Table, in the final version of <strong>Table 3</strong> the column title of sigma break was changed to sigma max, which is more correct for these stress-strain diagrams.The title of the first column was set to "screw" instead of "feeding". &nbsp;</p>

opencc-by-4.0Sep 2024View details →
zenodo36/100

Supplemental data files for: Evidence for the superposition of tectonic systems in the northern Songliao Block, NE China, revealed by a 3-D electrical resistivity model

<p>Data files for a 3-D electrical resistivity model in the northern Songliao Block, NE China,&nbsp;including the MT data observed there&nbsp; (note the data format is for 3-D inversion using ModEM), and&nbsp;the&nbsp;preferred&nbsp;resistivity&nbsp;model.</p> <p>The software EMdesk from Jilin Kingti Geoexploration Tech, Ltd (Changchun, China) can be&nbsp;used for data analysis and modeling (http://www.kingti.net).</p>

opencc-by-4.0Feb 2022View details →
dryad36/100

Data from: Do ditch-side electrical fences improve the breeding productivity of ground-nesting waders?

<p class="MsoNormal">I<span>nsufficient reproduction as a consequence of predation on eggs and chicks is a major determinant of population decline in ground-nesting birds, including waders. For many populations, there is an urgent need to maintain breeding populations at key sites, and conservation practitioners need to find viable management solutions to reduce predation.</span></p> <p class="MsoNormal">One tool available to the practitioner are fences that exclude key predators from areas containing breeding birds. Temporary electric fencing is an increasingly popular predator exclusion intervention, but such fences have costs associated with purchase and the time needed to erect and maintain them. Their effectiveness and optimal application are also frequently questioned.</p> <p class="MsoNormal">We evaluate the use of temporary ditch-side four-strand electric fences in lowland grasslands in two countries, The Netherlands and England, in areas containing high densities of breeding waders.</p> <p class="MsoNormal">In both countries and in all years, godwit and lapwing nest survival was significantly higher within areas enclosed by ditch-side electric fences. Brood survival, assessed for godwits in The Netherlands, was also higher within fenced areas in all years. This demonstrates that using temporary electric fences to enclose ground-nesting birds can be an effective tool for improving breeding productivity.</p> <p class="MsoNormal">In our study, closely managed electric fences were effective at excluding red foxes <em>Vulpes vulpes</em>, but not avian and other mammalian predators. The positive effect that electric fencing had on nest and brood survival therefore likely results from a reduction in the total number of visits by mammalian predators, and especially visits by foxes.</p> <p class="MsoNormal">Although it requires a substantial time investment throughout the period of use, our temporary electric fence design provides flexibility compared to other fence designs when it comes to enclosing different areas within a season and between years, as the targets for protection change or as land and flood management dictate. <span>This conservation intervention can help buy the time required to develop and implement longer term solutions for application at larger scales.</span></p>

opencc-zeroMar 2022View details →
zenodo36/100

Multimodal Electric Guitar Data

<p>A dataset of thirty-six student and semiprofessional electric guitarists performing a set of basic sound-producing actions as well as free improvisations. The multimodal dataset consists&nbsp;of EMG and motion capture data; additionally, video and sound recordings of each performer were made.</p>

opencc-by-4.0Nov 2021View details →
zenodo36/100

Raw sequencing data of NGS of stomach contents of sympatric species of weakly electric fish (genus: Campylomormyrus)

<p>This dataset contains the raw sequencing data of stomach contents of sympatric species of weakly electric fish (genus: <em>Campylomormyrus</em>) using next generation sequencing.</p> <p>Stomach content samples&nbsp;were collected from five <em>Campylomormyrus</em> species (<em>C. alces</em>, ; <em>C. compressirostris</em>, ; <em>C. curvirostris</em>, ; <em>C. numenius</em>, ; <em>C. tshokwe</em>) and samples of <em>Gnathonemus petersii</em> (<em>G. petersii, </em>), a sister genus of <em>Campylomormyrus.</em></p> <p>The fish specimens, from which these stomach content samples are extracted, were collected during an expedition to the Republic of the Congo in fall 2012.</p> <p>The dataset files are in FASTA format.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Raw data of manuscript "Tapered fibertrodes for opto-electrical neural interfacing in small brain volumes with reduced artefacts"

<p>This dataset contains the raw data for the paper titled &quot;Tapered fibertrodes for opto-electrical neural interfacing in small brain volumes with reduced artefacts&quot;.</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Data for manuscript sumitted to Open Research Europe, entitled "Low-resistivity, high-resolution W-C electrical contacts fabricated by direct-write focused electron beam induced deposition"

<p>These are the data obtained experimentally and used to draw the figures in the article submitted to Open Research Europe</p>

opencc-by-4.0Jul 2022View details →
zenodo36/100

Calibration data for IMACLIM-R electricity nexus - alpha version

<p>First release of the calibration data for the electricity nexus of IMACLIM-R (<a href="https://www.iamconsortium.org/resources/model-resources/imaclim-r/">https://www.iamconsortium.org/resources/model-resources/imaclim-r/</a>).</p> <p>Ongoing/missing:</p> <ul> <li>operation and maintenance costs</li> <li>installed capacity</li> </ul>

openother-openJul 2022View details →
zenodo36/100

Data set for "Room-temperature electrical control of polarization and emission angle in a cavity-integrated 2D pulsed LED"

<p>Data set for the paper &quot;Room-temperature electrical control of polarization and emission angle in a cavity-integrated 2D pulsed LED&quot;</p>

opencc-by-4.0Dec 2021View details →
zenodo36/100

Supplementary data: "Open modeling of electricity and heat demand curves for all residential buildings in Germany"

<p>This repository contains supplementary data for the paper&nbsp;<a href="https://doi.org/10.1186/s42162-022-00201-y"><em> &quot;Open modeling of electricity and heat demand curves for all residential buildings in Germany&quot;</em></a>.</p> <p>See <em>README.md</em> / <em>README.pdf</em> for further details.</p> <p><strong>Citing</strong></p> <p>Please cite as:</p> <p><em>B&uuml;ttner, C., Amme, J., Endres, J. et al. Open modeling of electricity and heat demand curves for all residential buildings in Germany. Energy Inform 5 (Suppl 1), 21 (2022).</em></p> <p><strong>Funding</strong></p> <p>The authors thank the Federal Ministry for Economic Affairs and Climate Action for funding the research project eGon (funding code: 03EI1002).</p> <p>&nbsp;</p>

openodc-odblJun 2022View details →
zenodo36/100

Supporting Data for Viscous Mechano-Electric Response of Ferroelectric Nematic Liquid

<p>These data correspond to the published publication entitled: Viscous Mechano-Electric Response of Ferroelectric Nematic Liquid&nbsp;</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Modelling input data for the case studies of the paper "Strategic bidding in light-robust day-ahead electricity markets".

<p><span>This data package&nbsp;includes the modelling input data to replicate the results of the case studies included in the paper&nbsp;"Strategic bidding in light-robust day-ahead electricity markets".&nbsp;</span></p> <p><span>This supplementary data package includes the following files:</span></p> <p><span><span>-<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Meta Data &ndash; Input data: Dataset containing the input data for the strategic bidding behavior problem. It includes bids from conventional, demand and stochastic players and the scenarios for system imbalance and real-time production.</span></p> <p><span><span>-<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span><span>Readme.txt: Includes a detailed description of the data packages</span></p> <p><span>&nbsp;</span></p> <p><span>Sources of data:</span></p> <p><span>* Ordoudis, C., Pinson, P., Morales, J. M., &amp; Zugno, M. (2016). An updated version of the IEEE RTS 24-bus system for electricity market and power system operation studies. Technical University of Denmark.</span></p> <p><span>* Silva-Rodriguez, L., Sanjab, A., Fumagalli, E., Virag, A., &amp; Gibescu, M. (2022). A light robust optimization approach for uncertainty-based day-ahead electricity markets. Electric Power Systems Research, 212, 108281. https://doi.org/10.1016/J.EPSR.2022.108281<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></p> <p><span>* Derived (scaled down) from Elia. (2024). Open data. Retrieved from https://www.elia.be/en/grid-data/open-data<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></p> <p><span>* Own data<span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></p> <p><span><span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></p>

opencc-by-4.0May 2024View details →
zenodo36/100

The Global and National Energy Systems Techno-Economic (GNESTE) Database: Cost and performance data for electricity generation and storage technologies

<p>Here, we present a database which collates historical, current, and future cost and performance data and assumptions for the six most prominent electricity generation technologies; coal, gas, hydroelectric, nuclear, solar photovoltaic (PV) and wind power, which together accounted for over 92% of installed generation capacity in 2022. In addition, we provide the same data for utility-scale battery energy storage systems (BESS), regarded as critical to the integration of variable renewables such as wind and solar PV.</p> <p>The data are global in scope but with regional and national specificity, covers the years 2015 through to 2050, and span 5510 datapoints from 56 sources. The database enables modellers to select and justify model input data and provides a benchmark for comparing assumptions and projections to other sources across the literature to validate model inputs and outputs. It is designed to be easily updated with new sources of data, ensuring its utility, comprehensiveness, and broad applicability in future.</p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Data for: Anderson Localization of Phonons in Thermally Superinsulating Graphene Aerogels with Metal-Like Electrical Conductivity

<p>The dataset contains the raw data for the graphene aerogel study, which evaluated the thermal conductivity, electrical conductivity, and ampacity of different graphene aerogels as a function of density, compressive strain, flake size, and annealing conditions. The package includes the data and figures for the paper entitled "Anderson Localization of Phonons in Thermally Superinsulating Graphene Aerogels with Metal-Like Electrical Conductivity", <a href="https://doi.org/10.1002/smtd.202301536">https://doi.org/10.1002/smtd.202301536</a>.</p>

opencc-by-4.0May 2024View details →
zenodo36/100

Data Files for "Subsidies for Close Substitutes: Aggregate Demand for Residential Solar Electricity"

<p>Data files for &nbsp;"Subsidies for Close Substitutes: Aggregate Demand for Residential Solar Electricity" [https://doi.org/10.1016/j.euroecorev.2024.104848]. Findings of the paper can be replicated using these data files, along with code at https://github.com/xabajian/AP_Solar/. Please contact Alexander Abajian &lt;xander.abajian@gmail.com&gt; with any questions regarding the enclosed files.</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".

<p>Dataset (Global C-responses for CSES and CSES+Swarm+Obs database) presented in the recently submitted AGU manuscript "Electrical conductivity of mantle transition zone and water content revealed by the magnetic data of China Seismo-electromagnetic Satellite".</p>

opencc-by-4.0Jul 2024View details →
zenodo36/100

Data presented in "Laser cooled YbF molecules for measuring the electron's electric dipole moment"

<p>Data underlying figure 2, 3 and 4 of the paper</p>

opencc-by-4.0Feb 2018View details →
zenodo36/100

Data for the paper "Small-scale variabilities in the electric field and the particle precipitation and their impacts on Joule heating"

<p>This dataset works specifically for the paper Zhu et al., (2018),&nbsp;Small-scale variabilities in the electric field and the particle precipitation and their impacts on Joule heating.&nbsp;</p> <p>Notes:</p> <p>1) fig1 file for data generating fig 1</p> <p>2) fig2 zip for data generating&nbsp;fig 2&nbsp;&nbsp;</p> <p>3) fig3 file for data generating fig 3</p> <p>4) fig4 zip for data generating fig 4 (In that zip file, Run 1 for fig 4a, Run2 for fig 4b, Run3 for fig 4c)</p> <p>&nbsp;</p>

opencc-by-4.0Mar 2018View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.