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32 results for “electrical properties”
Raw Data - 3D Printing Temperature Tailors Electrical and Electrochemical Properties through Changing Inner Distribution of Graphite/Polymer
<p>This Data set contains the raw data of the article:</p> <p>3D Printing Temperature Tailors Electrical and Electrochemical Properties through Changing Inner Distribution of Graphite/Polymer, Small, 2021, 17, 2101233.</p> <p>C. Iffelsberger, C. W. Jellett, and M. Pumera*,</p> <p>https://doi.org/10.1002/smll.202101233</p> <p>Related to the MSCA Project: 888797 LoCatSpot</p>
Phantom measurement data for 'Configuration-based electrical properties tomography', Iyyakkunnel et al. (2021)
<p>This dataset contains the phantom bSSFP measurement data used in the published article Iyyakkunnel et al., 'Configuration-based electrical properties tomography', Magn Reson Med. 2021;85:1855–1864 (doi: 10.1002/mrm.28542). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using a dual-tuned 1H/23Na quadrature head coil for transmission and reception (Rapid Biomedical, Rimpar, Germany).<br> The data includes the magnitude and phase measurements for eight phase-cycled scans (in dicom (.dcm) format). The RF phase increment for the phase cycled scans corresponds to 0°, 45°, 90°, 135°, 180°, 225°, 270° and 315°. For further measurement details, please refer to the mentioned original article.</p>
Phantom measurement data for 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Iyyakkunnel et al. (2022)
<p>This dataset contains the phantom measurement data used in the published article Iyyakkunnel et al., 'Complex B1+ mapping with Carr-Purcell spin echoes and its application to electrical properties tomography', Magn Reson Med. 2022;87:1250–1260 (doi: 10.1002/mrm.29020). The acquisitions were made with a 3 T MRI system (Magnetom Prisma; Siemens Healthcare, Erlangen, Germany) using the body coil for transmission and the a 20-channel head and neck coil for reception. Phase images from multichannel coil data were reconstructed using the manufacturer’s “adaptive coil combine” method. Magnitude measurements for B1 reconstruction using actucal flip angle imaging (AFI) is also included. Phantom scans were also performed with a 1H/23Na transmit/receive birdcage coil (RAPID Biomedical, Rimpar, Germany) for the Supporting Information Figure S1. The data includes the magnitude and phase measurements for the suggested Carr Purcell spin echo sequence with 10 echoes (in dicom (.dcm) format). For further measurement details, please refer to the mentioned original article.</p>
Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign: Dataset
<p>The zipped files contain the datasets used to produce Figure 1 of the following conference proceedings paper:</p> <p>Vasiliki Daskalopoulou, George Hloupis, Sotirios A. Mallios, Ilias Makrakis, Evangelos Skoubris, Maria Kezoudi, Zbigniew Ulanowski, & Vassilis Amiridis. (2021, July 6). <em>Vertical profiling of the electrical properties of charged desert dust during the pre-ASKOS campaign</em>. 15th International Conference on Meteorology, Climatology and Atmospheric Physics (COMECAP 2021), Ioannina, Greece. https://doi.org/10.5281/zenodo.5076042</p> <p>The repository contains overall:</p> <ol> <li>the ground-based JCI 131 Fieldmill Electrometer data that were acquired during the campaign (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from an Alphalab Air Ion counter co-located with the fieldmill (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Fieldmill_Ion_counter_Cyprus_campaign.rar">Fieldmill_Ion_counter_Cyprus_campaign.rar</a>)</li> <li>Data from the five MiniMill electrometers that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/MiniMills_Cyprus_campaign.rar">MiniMills_Cyprus_campaign.rar</a>)</li> <li>Data from the two of the charge sensors that were launched (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Charge_sensors_Cyprus_campaign.rar">Charge_sensors_Cyprus_campaign.rar</a>)</li> <li>Data from the eleven ion counters that were launched, tethered together with the MiniMills or the charge sensors (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Ion_counters_Cyprus_campaign.rar">Ion_counters_Cyprus_campaign.rar</a>)</li> <li>A campaign calendar with the launches schedule (<a href="https://zenodo.org/api/files/b9a97eac-3bc2-4468-a43d-efa270ce8d95/Cyprus_campaign_November2019_calendar.pdf">Cyprus_campaign_November2019_calendar.pdf</a>).</li> </ol>
McMurdo Dry Valleys Soil Properties Effects on Electrical Conductivity
Investigation of the effect of short-term variation in soil moisture and soil temperature on nematode anhydrobiosis as part of the McMurdo Dry Valleys Long Term Ecological Research (LTER) project. The percent of anhydrobiotic (coiled) nematodes with relation to soil moisture, temperature, and salinity was determined. The study began in the austral summer of 1996/1997. Sample gathered at locations at south side of Lakes Hoare and Fryxell, plus a moss site near Canada Glacier on Jan 1st 1997
Functionalising the electrical properties of Kombucha zoogleal mats for biosensing applications
<p><span>Data acquired from the electrical characterisation of pure and functionalised with graphene and zeolite Y Kombucha mats, <span> </span>including dynamic current-voltage (I-V) profiling, impedance, capacitance, and resistance measurements. </span></p> <p> </p>
A data set on_Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size
<p>The data set to paper: </p> <p>Electrical and colloidal properties of hydrogenated nanodiamonds: effects of structure, composition and size</p> <p>Stepan Stehlik1,2*, Ondrej Szabo2, Ekaterina Shagieva2, Daria Miliaieva2, Alexander Kromka2, Zuzana Nemeckova3, Jiri Henych3, 4, Jan Kozempel5, Evgeny Ekimov6, Bohuslav Rezek7</p> <p>1 New Technologies – Research Centre, University of West Bohemia, Univerzitní 8, 306 14, Pilsen, Czechia<br>2 Institute of Physics of the Czech Academy of Sciences, Cukrovarnická 10, 162 00 Prague 6, Czechia<br>3 Institute of Inorganic Chemistry of the Czech Academy of Sciences, 250 68 Husinec-Řež, Czechia<br>4 Faculty of Environment, Jan Evangelista Purkyně University in Ústí nad Labem, Pasteurova 3632/15, 400 96 Ústí nad Labem, Czechia<br>5 Department of Nuclear Chemistry, Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Břehová 7, Prague 1, 115 19, Czechia<br>6 Vereshchagin Institute for High Pressure Physics, Russian Academy of Sciences, Moscow 108840, Russia<br>7 Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 166 27 Prague, Czechia</p> <p>*principal investigator: stehlik@fzu.cz</p> <p>Data manager: Jan Jaroš: Jan.Jaros2@vut.cz</p> <p>Date of data collection: 1. 6. 2020 - 18. 1. 2024</p> <p>All the data showed in the pictures are provided in X-Y format with described sample. Always, the respective Figure to which the data belong is provided in high resolution. <br>The data are in the following formats: <br>Figure 1: tiff, csv<br>Figure 2: tiff, csv<br>Figure 3: tiff, csv<br>Figure 4: tiff, csv<br>Figure 5: tiff, csv<br>Figure 6: tiff</p> <p>Data acquistion methods and conditions and data processing is provided in the Experimental part in the publication: DOI:10.1016/j.cartre.2024.100327</p> <p> </p> <p><span> </span></p>
Flowfield Properties for Calculating Electrical Conductivity in a CO2 Atmosphere
<p>This dataset provides flowfield quantities necessary to calculate the electrical conductivity in the flowfield around an entry vehicle in a CO2 atmosphere. The CFD data was generated using the Data Parallel Line Relaxation Code. The freestream conditions cover velocities from 5 - 12 km/s and altitudes from 20 - 80 km at Mars (85 - 115 km at Venus). The vehicle geometry is a 10 m diameter 70 deg spherecone.</p>
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 <br>Petra Pötschke, 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.; Pötschke, P. Influence of screw configuration, residence time, <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.; Pötschke, 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.; Pötschke, 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. </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: 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. </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". </p>
Grid-Free Evaluation of Phonon-Limited Relaxation Times and Electrical Transport Properties
<p>Data, source codes and figures for the manuscript:</p> <p>"Grid-Free Evaluation of Phonon-Limited Relaxation Times and Electrical Transport Properties"</p>
Nanotubes from the Misfit Layered Compound (SmS)1.19TaS2: Atomic Structure, Charge Transfer, and Electrical Properties_experimental dataset
<p>This dataset contains the raw experimental data for the Sreedhara et al., Nanotubes from the Misfit Layered Compound (SmS)1.19TaS2: Atomic Structure, Charge Transfer, and Electrical Properties, <em>Chem. Mater.</em> 2022, 34, 4, 1838–1853</p>
Spectroscopic and Electric Properties of the TaO$^+$ Molecule Ion for the Search of New Physics: A Platform for Identification and State Control: Dataset
<p>This dataset collects the unprocessed (= outputs from calculations) results discussed in the paper titled "Spectroscopic and Electric Properties of the TaO<sup>+</sup> Molecule Ion for the Search of New Physics: A Platform for Identification and State Control", by Ayaki Sunaga and Timo Fleig.</p>
Data from: A hierarchical model for external electrical control of an insect, accounting for inter-individual variation of muscle force properties
<p>Cyborg control of insect movement is promising for developing miniature, high-mobility, and efficient biohybrid robots. However, considering the inter-individual variation of the insect neuromuscular apparatus and its neural control is challenging. We propose a hierarchical model including inter-individual variation of muscle properties of three leg muscles 14 involved in propulsion (retractor coxae), joint stiffness (pro- and retractor coxae), and stance-swing transition (protractor coxae and levator trochanteris) in the stick insect Carausius morosus. To estimate mechanical effects induced by external muscle stimulation, the model is based on the systematic evaluation of joint torques as functions of electrical stimulation parameters. A nearly linear relationship between the stimulus burst duration and generated torque was observed. This stimulus-torque characteristic holds for burst durations of up to 500ms, corresponding to the stance and swing phase durations of medium to fast walking stick insects. Hierarchical Bayesian modeling revealed that linearity of the stimulus-torque characteristic was invariant, with individually varying slopes. Individual prediction of joint torques provides significant benefits for precise cyborg control.</p>
Data from: Electrical properties of alkaline earth sulfides and implications for the interior of mercury
Open the record for dataset details and reuse information.
Data from: A hierarchical model for external electrical control of an insect, accounting for inter-individual variation of muscle force properties
Open the record for dataset details and reuse information.
Electrical properties of Bi-implanted amorphous chalcogenide films
<p>Y. G. Fedorenko<sup>1a</sup>, M. A. Hughes<sup>1</sup>, J. L. Colaux<sup>1</sup>, C. Jeynes<sup>1</sup>, R. M. Gwilliam<sup>1</sup>, K. Homewood<sup>1</sup>, B. Gholipour<sup>2</sup>, J. Yao<sup>2</sup>, D. W. Hewak<sup>2</sup>, T.-H. Lee<sup>3</sup>, S. R. Elliott<sup>3</sup> and R. J. Curry<sup>1</sup></p> <p><sup>1</sup>Advanced Technology Institute, Department of Electronic Engineering, University of Surrey, Guildford, GU2 7XH, United Kingdom</p> <p><sup>2</sup>Optoelectronics Research Centre, University of Southampton, Southampton SO17 1BJ, United Kingdom</p> <p><sup>3</sup>Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge, CB2 1EW, United Kingdom</p> <p> </p> <p><sup>a</sup>Present address: Department of Physics, University of Liverpool, The Oliver Lodge Laboratory, Liverpool L69 7ZE, United Kingdom</p>
Data from: Acoustic and electrical properties of Fe-Ti oxides with application to the deep lunar mantle
<p>The overturn of titanium-rich mantle cumulates has been invoked to explain the structure and dynamics of the Moon. These dense cumulates are stable at the core-mantle boundary (CMB) and could explain field anomalies inferred from geophysical studies. We report the first acoustic and electrical experiments on natural ilmenite-rutile aggregates up to 4.5 GPa and 1920 K. Seismic velocities show a weak pressure and temperature dependence, with Vs ~4.2 (+/-0.2) km/s and Vp ~ 8.0 (+/-0.2) km/s at the CMB conditions. Conductivity increases by a factor > 10<sup>4</sup> over 373-1920 K and is >10<sup>3</sup> S/m above 1573 K. Seismic and electrical mixing models of Fe-Ti oxides - olivine rocks based on our results indicate that field velocity and conductivity estimates are reproduced satisfactorily with 3-16% Fe-Ti oxides and 20% melt. Interactions between this Ti-rich and melt-bearing layer and the adjacent core likely affect the cooling and magnetic history of the Moon.</p>
Physicochemical properties (viscosity, electrical conductivity) of betaine based deep eutectic solvents
<p>New deep eutectic solvents (DES) based on betaine as a hydrogen bond acceptor and urea, lactic acid, glycerol, 1,2-propanediol, and xylitol as hydrogen bond donors have been prepared. Viscosity and electrical conductivity were investigated. </p>
Effect of substrate temperature on the optical and electrical properties of nitrogen-doped NiO thin films
<p>This file contains 2 figures. </p> <p>Fig.S1 Mott–Schottky plots of ITO coated glass.</p> <p>Fig.S2 Room temperature PL spectra of N-doped NiO thin films deposited at room temperature substrate temperature.</p>
The Effect of C60 and Pentacene Adsorbates on the Electrical Properties of CVD Graphene on SiO2 (Dataset)
<p>Dataset of the GFETs measurements related to the publication: "The Effect of C60 and Pentacene Adsorbates on the Electrical Properties of CVD Graphene on SiO2", MDPI, Nanomaterials, 2023.</p> <p>The dataset includes:</p> <ol> <li>AFM raw data</li> <li>Raman spectroscopy raw data</li> <li>GFETs IV and gate sweep raw data</li> </ol>
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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.
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.