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116 results for “Carbon nanotube”

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zenodo40/100

Data repository for manuscript "Contacting individual graphene nanoribbons using carbon nanotube electrodes"

<p>This is the raw data for&nbsp;the manuscript &quot;Contacting individual graphene nanoribbons using carbon nanotube electrodes&rdquo;.</p>

opencc-by-4.0May 2023View details →
ClinicalTrials.gov40/100

Evaluation of a Carbon Nanotube Enabled Solid-State Head CT

ClinicalTrials.gov study NCT04495634. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
zenodo36/100

DNA methylation following long-term pulmonary multi-walled carbon nanotubes exposure in mice

<p>Whole Genome Bisulphite Sequencing (WGBS) experiment&nbsp;to assess DNA methylation patterns in mice lungs 56 days after exposure to Multi-Walled Carbon NanoTubes (MWCNTs). The doses of MWCNTs used in this experiment were 0, 40 or 80&nbsp;&mu;g/mouse. In this record, we provide WGBS coverage files along with bedgraph files.</p>

opencc-by-4.0Dec 2020View details →
zenodo36/100

Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors

<p>This dataset contains the measurement data for figures (graphs) published in journal article:</p><p>Grid-type transparent conductive thin films of carbon nanotubes as capacitive touch sensors</p><p>by Ronja Valasma, Eva Bozo, Olli Pitkänen, Topias Järvinen, Aron Dombovari, Melinda Mohl, Gabriela Simone Lorite, Janos Kiss, Zoltan Konya and Krisztian Kordas</p><p>Published 11 May 2020 • © 2020 The Author(s). Published by IOP Publishing Ltd</p><p>Nanotechnology, Volume 31, Number 30</p><p>Citation: &nbsp;Ronja Valasma et al 2020 Nanotechnology 31 305303</p><p>DOI 10.1088/1361-6528/ab8590</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites

<p>Transmission electron microscopy (TEM) images of multiwalled carbon nanotubes (MWCNT) detached from polycarbonate (PC) composites to determine the MWCNT length distribution. Two sample series of TEM images are included. One based on PC type Makrolon&reg; 2600 and one based on PC type Lexan 141R. The TEM images were taken by Mrs Manuela Heber and the measurement of the MWCNT lengths was carried out by Mrs&nbsp;Manuela&nbsp; Heber and <a href="https://www.ipfdd.de/en/organization/organization-chart/personal-homepages/dr-beate-krause/">Mrs. Dr. Beate Krause</a> (both members of Leibniz-Institut f&uuml;r Polymerforschung Dresden e.V. (<a href="https://www.ipfdd.de/en/home/">IPF</a>)).</p> <p><br>The results of these measurements are presented in the following publication:&nbsp;</p> <p>Petra P&ouml;tschke, Tobias Villmow, Beate Krause and Bernd Kretzschmar,<sup> </sup>Influence of Twin-screw Extrusion Conditions on MWCNT Length and Dispersion and Resulting Electrical and Mechanical Properties of Polycarbonate Composites,&nbsp;<strong>polymers </strong>2024, 16(19), 2694. <a href="https://doi.org/10.3390/polym16192694">https://doi.org/10.3390/polym16192694</a></p>

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

Supporting data for "Cellulose separators with integrated carbon nanotube interlayers for lithium-sulfur batteries: an investigation into the complex interplay between cell components"

<p>This is the dataset of electrochemical experiments for our publication &quot;Cellulose separators with integrated carbon nanotube interlayers for lithium-sulfur batteries: an investigation into the complex interplay between cell components&quot;. This archive contains the raw data and scripts written in R used in the analysis and presentation of the results in this manuscript.</p> <p><strong>Abstract for the manuscript:</strong></p> <p>This work aims to address two major roadblocks in the development of lithium-sulfur (Li-S) batteries: the inefficient deposition of Li on the metallic Li electrode and the parasitic &ldquo;polysulfide redox shuttle&rdquo;. These roadblocks are here approached, respectively, by the combination of a cellulose separator with a cathode-facing conductive porous carbon interlayer, based on their previously reported individual benefits. The cellulose separator increases cycle life by 33%, and the interlayer by a further 25%, in test cells with positive electrodes with practically relevant specifications and a relatively low electrolyte/sulfur (E/S) ratio. Despite the prolonged cycle life, the combination of the interlayer and cellulose separator <em>increases</em> the polysulfide shuttle current, leading to reduced Coulombic efficiency. Based on XPS analyses, the latter is ascribed to a change in the composition of the solid electrolyte interphase (SEI) on Li. Meanwhile, electrolyte decomposition is found to be slower in cells with cellulose-based separators, which explains their longer cycle life. These counterintuitive observations demonstrate the complicated interactions between the cell components in the Li-S system and how strategies aiming to mitigate one unwanted process may exacerbate another. This study demonstrates the value of a holistic approach to the development of Li-S chemistry.</p> <p>Manuscript preprint <a href="http://dx.doi.org/10.26434/chemrxiv.8835728">available at ChemRxiv</a> (pending approval as of 9/7/19).</p>

opencc-by-4.0Jul 2019View details →
dryad36/100

Data for: Simultaneously enhanced tenacity, rupture work, and thermal conductivity of carbon nanotubes fibers by raising effective tube portion

<p><span>Although individual carbon nanotubes (CNTs) are superior as constituents to polymer chains, the mechanical and thermal properties of CNT fibers (CNTFs) remain inferior to </span><span>synthetic fibers</span><span> due to the failure of embedding CNTs effectively in superstructures. Conventional techniques resulted in a mild improvement of target properties while degrading </span><span>others. Here, a Double-Drawing technique is developed to rearrange the constituent CNTs in both mesoscale and nanoscale morphology. Consequently, the mechanical and thermal properties of the resulting CNTFs can simultaneously reach their highest performances with specific strength ~3.30 N/tex (4.60 GPa), work of rupture ~70 J/g, and thermal conductivity ~354 W/m/K, despite starting from low-crystallinity materials (<em>I</em><sub>G</sub>:<em>I</em><sub>D</sub>~5). The processed CNTFs are more versatile than comparable carbon fiber, Zylon and Dyneema. Based on evidence of load transfer efficiency on individual CNTs measured with In-Situ-Stretching-Raman, we find the main contributors to property enhancements are the increasing of the effective tube contribution, in addition to the known optimization on CNTs alignment and stacking.</span></p>

opencc-zeroDec 2022View details →
dryad36/100

Data for: Simultaneously enhanced tenacity, rupture work, and thermal conductivity of carbon nanotubes fibers by raising effective tube portion

Open the record for dataset details and reuse information.

publicDec 2022View details →
zenodo32/100

Radiation Generation from an Array of Magnetized Anharmonic Carbon Nanotubes

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo32/100

Carbon Nanotube-Based Chemiresistive Sensor Array for Dissolved Gases

<p>Abstract: Dissolved gases such as oxygen (DO) and ammonia (dNH3) are among the most consequential parameters for water quality assessment. &nbsp;Since the concentrations of DO and dNH3 are interdependent through the nitrogen cycle, simultaneous monitoring can be useful in many applications. For example, in wastewater treatment, aeration baths are used to adjust the rate of ammonia removal by the bioactive sludge. Here, we have developed a sensing array which can monitor dissolved molecular oxygen (DO) and dissolved un-ionized ammonia (dNH3) continuously and simultaneously. This was achieved by functionalizing two sensors made from single- walled carbon nanotube (SWCNT) films with two different molecules; phenyl-capped aniline tetramer (PCAT), and iron phthalocyanine (II) (FePc). &nbsp;It was found that the FePc-doped SWCNT (FePc@SWCNT) sensor demonstrated good sensitivity and selectivity to DO, compared to dNH3. Conversely, we found that the PCAT-doped SWCNT (PCAT@SWCNT) demonstrates greater sensitivity to ammonia. Investigating the effect of different PCAT salts as dopant, we describe the following series of sensor responses to ammonia: Chloride &lt; Crotonate &lt; Fumarate. &nbsp; Additionally, we coated our sensors with PDMS, which is selectively permeable to gases, over ionic species. &nbsp;Finally, using principal component analysis (PCA) and partial least square discriminant analysis, it was possible to discriminate between responses to DO and dNH3, with 100% accuracy. As a result, here, we have developed a compelling proof-of-concept for the use of a single sensing substrate, doped with molecules with distinct mechanisms of interaction with two different analytes, to simultaneously monitor concentrations of two dissolved gases, namely DO and dNH3.&nbsp;</p> <p>&nbsp;</p> <p>This repository contains dataset and code used in chemometric analysis.</p> <p>Dataset contained in dataset folder. Within the array_exp.csv file, "sensor366" represents the current data for a PCAT@SWCNT Fumarate sensor; "sensor353" represents a FePc@SWCNT sensor. The dO meter is a polarographic probe.&nbsp; Times for the ammonia additions and concentrations can be found in the Rmarkdown script.</p> <p>In the root directory, the renv.lock file can be found with required packages. Text outputs from code can also be found in the root directory.</p>

opencc-by-4.0Jul 2024View details →
zenodo32/100

Electric-field-induced anion-π catalysis on carbon nanotubes in electrochemical microfluidic devices: Original Data

<p>Original data underlying the publication entitled &quot;Electric-field-induced anion-&pi; catalysis on carbon nanotubes in electrochemical microfluidic devices&quot;</p> <p>1 Synthesis: synthetic procedures (notebook pages) and data (NMR, IR, MS) of compounds <strong>6</strong>&ndash;<strong>8</strong>, <strong>15</strong>, <strong>17</strong>, <strong>19</strong>, <strong>21</strong>&ndash;<strong>26</strong></p> <p>2 Catalysis in suspension:&nbsp;procedure (notebook pages) and HPLC chromatograms (for compounds <strong>6</strong> and <strong>8</strong>) or NMR spectra (for compound<strong> 9</strong>)</p> <p>3 Catalysis using electromicrofluidics: procedure (notebook pages) and HPLC chromatograms</p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Dataset to Carbon nanotube field-effect transistor for resolving single-molecule aptamer-ligand binding kinetics

<p>Raw data of single molecular field effect transistor data from recordings of aptamer serotonin interactions.</p>

opencc-by-4.0Dec 2023View details →
dryad32/100

Deep desulfurisation performance of thiophene with deep eutectic solvents loaded carbon nanotubes composites

Open the record for dataset details and reuse information.

publicApr 2021View details →
zenodo28/100

Probing the Electrical Double Layer by Operando X-ray Photoelectron Spectroscopy through a Graphene-Carbon Nanotube Composite Window

<p>Supporting information for Molecular Dynamics NAMD 2.0 simulations of BPY1,4-TFSI-Li ionic liquid mixture encased in cuboid graphene box for graphene window double layer calculations presented in submitted manuscript to Eco Mat journal.</p> <p>The files contain new developed parameters for BPY1,3-TFSI force field based on Gaussian09 DFT calculations and relevant PDB and PSF and configuration files for NAMD runs at 0, 1 and 3Volt.</p> <p>Abstract:&nbsp;</p> <p>The electrical double layer is known to spontaneously form at the electrode-electrolyte interface, impacting many important chemical and physical processes as well as applications including electrocatalysis, electroorganic synthesis, nanomaterial preparation, energy storage, and even emulsion stabilization. However, it has been challenging to study this fundamental phenomenon at the molecular level because the electrical double layer is deeply &ldquo;buried&rdquo; by the bulk electrolyte solution. Here, we report a quantitative probing of the electrical double layer of ionic liquids from the solid side of a photoelectron-transparent graphene-carbon nanotube hybrid membrane electrode using X-ray photoelectron spectroscopy. The membrane window is ultrathin (~1.5 nm), large (~1 cm<sup>2</sup>), and robust, enabling a tight seal of the electrolyte and quantitative measurement with excellent photoelectron signals. By&nbsp;<em>operando</em>monitoring the population changes of cations and anions in response to the applied electrical potentials, we experimentally resolve the chemical structure and dynamics of the electrical double layer, which corroborate results from molecular dynamics simulations.</p>

opencc-by-4.0Mar 2020View details →
zenodo28/100

Rapid and sensitive quantification of cellular associated multi-walled carbon nanotubes

<p>Datasets of &quot;Rapid and sensitive quantification of cellular associated multi-walled carbon nanotubes&quot;.</p>

opencc-by-4.0Apr 2020View details →
dryad28/100

Data from: Dispersion, sedimentation, and aggregation of multi-walled carbon nanotubes as affected by single and binary mixed surfactants

Two commonly used dispersants octyl phenol ethoxylate (Triton X-100) and sodium dodecyl sulfate (SDS) were employed to explore the effects of single or mixed surfactants on the dispersion, sedimentation, and aggregation of multi-walled carbon nanotubes (MWCNTs). Nonionic surfactant TX100 showed much superior capability to anionic surfactant SDS in dispersing MWCNTs due to the benzene ring structure in its tail group. The addition of SDS reduced the adsorption of TX100 on the surface of MWCNTs and the consequent suspension of MWCNTs. The dispersing ability of TX100-SDS binary mixture was between those of individual SDS and TX100. The introduction of SDS greatly retarded the sedimentation and aggregation of suspended MWCNTs. The critical coagulation concentration (CCC) values of suspended MWCNTs dispersed by TX100 (2000 mg/L), SDS (2000 mg/L), and TX100-SDS (2000 mg/L of each component) were 48.6, 398, and 324 mM, respectively, for the Na+ treatments. The CCC values were much lower for Ca2+ treatments, which were 30.4 and 32.1 mM, respectively, for MWCNT dispersed by TX100 and TX100-SDS mixture. Overall, these results demonstrated that although the introduction of SDS did not improve the ability of TX100 in suspending MWCNTs, the suspensions exhibited more stable properties than those dispersed by TX100 alone. Our findings have important implications on the design of surfactant mixtures and the prediction on the behavior and fate of MWCNTs in water environment.

opencc-zeroJun 2019View details →
dryad28/100

Data from: High-performance single-walled carbon nanotube transparent conducting film fabricated by using low feeding rate of ethanol solution

We report floating catalyst chemical vapor deposition synthesis of single-walled carbon nanotubes (SWCNTs) for high performance transparent conducting films (TCFs) using low feeding rate of precursor solution. Herein, ethanol acts as carbon source, ferrocene and thiophene as catalyst precursor and growth promoter, respectively. By adopting a low feeding rate of 4 μl/min, the fabricated TCFs present one of the lowest sheet resistances of ca. 78 ohm/sq. at 90% transmittance. Optical characterizations demonstrate that the mean diameter of high quality SWCNTs is up to 2 nm. Additionally, electron microcopy observations provide the evidences that the mean length of SWCNT bundles is as long as 28.4 μm while the mean bundle diameter is only 5.3 nm. Moreover, very few CNT loops can be found in the film. Remarkably, the fraction of individual SWCNTs climbs up to 24.6%. All those morphology data account for the superior optoelectronic performance of our SWCNT TCFs.

opencc-zeroDec 2017View details →
zenodo28/100

Mode coupling bi-stability and spectral broadening in buckled carbon nanotube mechanical resonators

<p>Data availability for the Figures of the manuscript.</p>

opencc-by-4.0Sep 2022View details →
zenodo28/100

Fundamental interactions between carbon nanotubes

<p><strong>Fundamental interactions between carbon nanotubes</strong></p> <p>Junjie Chen</p> <p>Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China</p> <p>Contributor: Junjie Chen, ORCID: 0000-0002-5022-6863, E-mail address: koncjj@gmail.com</p> <p>&nbsp;</p> <p>Elemental carbon exists in several forms, each of which has its own physical characteristics. Two of its well-defined forms, diamond and graphite, are crystalline in structure, but they differ in physical properties because the arrangements of the atoms in their structures are dissimilar. A third form, called fullerene, consists of a variety of molecules composed entirely of carbon. Spheroidal, closed-cage fullerenes are called buckerminsterfullerenes, or buckyballs, and cylindrical fullerenes are called nanotubes. A fourth form, called Q-carbon, is crystalline and magnetic. Yet another form, called amorphous carbon, has no crystalline structure. Other forms, such as carbon black, charcoal, lampblack, coal, and coke, are sometimes called amorphous, but X-ray examination has revealed that these substances do possess a low degree of crystallinity. Diamond and graphite occur naturally on Earth, and they also can be produced synthetically; they are chemically inert but do combine with oxygen at high temperatures, just as amorphous carbon does. Fullerene was serendipitously discovered in 1985 as a synthetic product in the course of laboratory experiments to simulate the chemistry in the atmosphere of giant stars. It was later found to occur naturally in tiny amounts on Earth and in meteorites. Q-carbon is also synthetic, but scientists have speculated that it could form within the hot environments of some planetary cores. Pure diamond is the hardest naturally occurring substance known and is a poor conductor of electricity. Graphite, on the other hand, is a soft slippery solid that is a good conductor of both heat and electricity. Carbon as diamond is the most expensive and brilliant of all the natural gemstones and the hardest of the naturally occurring abrasives. Molecules of fullerene show promise in a range of applications, including high-tensile-strength materials, unique electronic and energy-storage devices, and safe encapsulation of flammable gases, such as hydrogen. Q-carbon, which is created by rapidly cooling a sample of elemental carbon whose temperature has been raised to 4,000 degrees kelvin, is harder than diamond, and it can be used to manufacture diamond structures (such as diamond films and microneedles) within its matrix. Elemental carbon is nontoxic. Each of the amorphous forms of carbon has its own specific character, and, hence, each has its own particular applications. All are products of oxidation and other forms of decomposition of organic compounds. Carbon, either elemental or combined, is usually determined quantitatively by conversion to carbon dioxide gas, which can then be absorbed by other chemicals to give either a weighable product or a solution with acidic properties that can be titrated. When an element exists in more than one crystalline form, those forms are called allotropes; the two most common allotropes of carbon are diamond and graphite. The crystal structure of diamond is an infinite three-dimensional array of carbon atoms, each of which forms a structure in which each of the bonds makes equal angles with its neighbors. If the ends of the bonds are connected, the structure is that of a tetrahedron, a three-sided pyramid of four faces. Every carbon atom is covalently bonded at the four corners of the tetrahedron to four other carbon atoms. The space lattice of the diamond can be visualized as carbon atoms in puckered hexagonal rings that lie roughly in one plane, the natural cleavage plane of the crystal; and these sheets of hexagonal, puckered rings are stacked in such a way that the atoms in every fourth layer lie in the same position as those in the first layer. The extreme hardness, the high sublimation temperature, the presumed extremely high melting point, and the reduced chemical reactivity and insulating properties are all reasonable consequences of the crystal structure.</p>

opencc-by-4.0Oct 2022View details →
zenodo28/100

Electric-Field Catalysis on Carbon Nanotubes in Electromicrofluidic Reactors: Monoterpene Cyclizations: Original Data

<p>Original data underlying the publication. Data are assembled according to the supporting information.</p>

opencc-by-4.0Oct 2024View details →

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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