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421 results for “Polymer”
Direct synthesis of a stable radical doped electrically conductive coordination polymer
<ul> <li><strong>Data type</strong>: Experimental spectroscopic measurements.</li> <li>Files are with filename extensions: <strong>DSC</strong>, <strong>DAT</strong>,<strong>txt</strong></li> <li>Information on <strong>origin of the data</strong>:</li> </ul> <ul> <li>EPR spectroscopic measurements with filename extensions <strong>DSC</strong>, <strong>DTA.</strong></li> <li>EPR spectra are exported as <strong>txt</strong> files in ASCII format.</li> </ul> <ul> <li>X-band CW-EPR spectroscopic measurements were generated by EMX spectrometer equipped with SHQ cavity produced by Bruker.</li> <li><strong>If the dataset includes multiple files that relate to each other:</strong> <ul> <li>Files in <strong>PARACAT_WP4_20220202_ULEI_01_ONDICathedral_RT </strong>folder includes X-band CW-EPR spectroscopic measurements; original data are in DTA/DSC and txt formats.</li> </ul> </li> <li><strong>Information on</strong>: <ul> <li>specialized abbreviations: <strong>ONDICatechol– </strong>ONDI with Catechol, <strong>ONDIDMF– </strong>ONDI with DMF, <strong>ONDI_piperidine– </strong>ONDI with piperidine,<strong> ONDICdCl– </strong>ONDI with CdCl, <strong>ONDIDMSO– </strong>ONDI with DMSO.</li> <li>_RT– measured at 300 K</li> <li>definitions of variables: <strong>Magnetic field, Temperature.</strong></li> <li>units of measurement: <strong>Gauss (G), K, degree (°), milliTesla (mT)</strong>.</li> </ul> </li> </ul>
Brownian Relaxation Shakes and Breaks Magnetic Iron Oxide-Polymer Nanocomposites to Release Cargo
<p>Original data supporting the findings of the manuscript and supplementary materials sorted after Figures and their respective panels.</p>
Fine-Tuning of Colloidal Polymer Crystals by Molecular Simulation
<p>Data archive corresponding to the manuscript "Fine-Tuning of Colloidal Polymer Crystals by Molecular Simulation" by M. Herranz et al., Phys. Rev. E 107, 064605 (2023); DOI: 10.1103/PhysRevE.107.064605</p> <p>Please see README.txt for instructions on how to access and read the files from the crystallographic analysis based on the CCE norm descriptor.</p> <p>All snapshots have been generated and successively analyzed by the Simu-D software.</p>
Polymer Mechanochemistry in Microbubbles
<p>Data of the associated manuscript and supplementary information sorted after Figures with associated sub panels.</p>
Molecular dynamics simulation based analysis of celecoxib-polymer interactions
<p>This dataset contains scripts and coordinate files for running and analysing molecular dynamics simulations to investigate celecoxib-polymer interactions in aqueous solution. Trajectory files (stripped of water and ions) are included.</p> <p>The associated study is described in:</p> <p>" Comparative analysis of drug-salt-polymer interactions by experiment and molecular simulation improves biopharmaceutical performance", Sumit Mukesh, Goutam Mukherjee, Ridhima Singh, Nathan Steenbuck, Carolina Demidova, Prachi Joshi, Abhay T. Sangamwar, Rebecca C. Wade, submitted.</p>
Environmental Sustainability Assessment of Hydrogen from Waste Polymers
<p>Dataset associated with the publication "Environmental Sustainability Assessment of Hydrogen from Waste Polymers" by Cecilia Salah, Selene Cobo, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at <a href="https://doi.org/10.1021/acssuschemeng.2c05729">https://doi.org/10.1021/acssuschemeng.2c05729</a>. The dataset includes the numeric data used both in figures and tables of the main text and the supporting information, in a machine-readable format.</p> <p>The structure of the dataset is here elucidated sheet by sheet:</p> <ul> <li><strong>01_LCI</strong>: numerical values associated with the life cycle inventories of the two gasification processes presented in this work (wPG and wPG+CCS). These values are displayed as in Tables S1 and S2 in the Supporting Information.</li> <li><strong>02_GWI</strong>: numerical values associated with the global warming impact of the 13 technologies assessed in this study. These values are used to generate Figure 3 of the main text.</li> <li><strong>03_PB-LCIA</strong>: numerical values associated with the results from the planetary boundaries life cycle impact assessment of the 13 technologies assessed in this study. This sheet contains data on all three PB-LCIA assessments carried out in this work: transgression level (TL) of the technologies relative to SOS<sub>H2,wP,b</sub> following a utilitarian downscaling, the TL of the technologies relative to SOS<sub>GLO</sub>, and the TL of the technologies relative to SOS<sub>H2,wP,b</sub> downscaled following the grand-fathering downscaling. These values are used to generate respectively Figure 4 of the main text, and Figures S1 and S2 in the Supporting Information.</li> <li><strong>04_LCOH</strong>: numerical values associated with the levelized cost of hydrogen (LCOH) of the 13 technologies assessed in this work. The sheet contains the values used to generate Figure 5 of the main text, and the values as displayed in Tables S3, S4, and S5 in the Supporting Information, which are used to calculate the LCOH of PEM-BECCS, PEM-hydro and PEM-2018 grid mix.</li> <li><strong>05_TEA</strong>: numerical values associated with the cost breakdown of the wPG and wPG+CCS technologies. These values are used to generate Figure S3 in the Supporting Information, and are displayed as in Tables S6, S7 and S8 in the Supporting Information.</li> <li><strong>06_endpoints</strong>: numerical values associated with the total endpoint environmental impacts of the different technologies per impact category, broken down by process component. These values are used to generate Figure S4, and are displayed as in Table S9 in the Supporting Information.</li> <li><strong>07_TCH</strong>: numerical values associated with the total cost of hydrogen (TCH) of the 13 technologies assessed in this work. The sheet contains the values used to calculate the TCH of the different technologies, and the data used to generate Figure S5 in the Supporting Information.</li> <li><strong>08_LP</strong>: numerical values associated with the results of the optimization that minimizes the cost of meeting the global H<sub>2</sub> demand within planetary boundaries. These values are used to generate Figure 6 of the main text and Figure S6 in the Supporting Information.</li> </ul>
Biobased Structurally Compatible Polymer Blends Based on Lignin and Thermoplastic Elastomer Polyurethane as Carbon Fiber Precursors
<p>The production of carbon fibers based on lignin reduces the cost and the environmental impact associated with carbon fiber manufacturing. However, the melt processing of lignin as a carbon fiber precursor is challenging due to its brittleness and limited thermoplastic behavior. For this reason we produce biopolymer blends based on Alcell organosolv hardwood lignin, hydroxypropyl modified Kraft hardwood, and a thermoplastic elastomer polyurethane (TPU). Samples with TPU content greater than 30% showed excellent melt processability and carbonization yield (35% carbon yield for the samples containing 30% of TPU). The thermal properties were analyzed by differential scanning calorimetry, rheology and thermogravimetric analysis. Fourier infrared measurements were utilized to explain the lignin/TPU interactions which governed the thermal and rheological behavior of the blends. SEM analysis showed that the blends produce a homogeneous structure which was void free after carbonization. These structurally complementary biopolymeric blends should open up new avenues for lignin valorization and bring closer the realization of the production of carbon fibers from biosources.</p>
Supporting data for "Influence of an ionic comonomer on polymerization-induced self-assembly of diblock copolymers in non-polar media" (Polymer Chemistry, 2020, doi:10.1039/D0PY00101E)
<p>SAXS data [Q / (1/Å), I(Q) / Arb. unit, Uncertainty I(Q) / Arb. unit] provided as *.txt files</p> <p>DLS histograms [Diameter / nm, Proportion / %] provided as *.csv files</p>
Application of contact-resonance AFM methods to polymer samples (Raw Data)
<p>Raw data and figures of the article "Application of contact-resonance AFM methods to polymer samples", published in Beilstein Journal of Nanotechnology on 12 Nov 2020</p> <p> </p> <p>The raw data can be opened with the software "Igor Pro"</p>
Room Temperature Self-Healing in Soft Pneumatic Robotics: Autonomous Self-Healing in a Diels-Alder Polymer Network
<p>Healable soft robotic systems have been developed by constructing flexible membranes out of Diels?Alder (DA) polymer networks. In these components, relatively large amounts of damage, on the centimeter scale, can be healed, provided that the temperature is increased to 80?90 ?C. This article presents a new DA polymer network that can heal at room temperature through a smart design of the network that increases the molecular mobility in the material. This new material is used to develop the first healable soft robotic prototype that can autonomously recover from severe, realistic damage. The soft pneumatic hand can recover from various types of injuries, including being cut completely in half, without the need for a temperature increase. After healing, the performance of the soft robotic prototype is recovered.</p>
Reversible H2 oxidation and evolution by hydrogenase embedded in a redox polymer film
<p>This data set contains the source data of the nature catalysis manuscript NATCATAL-20033655A.</p> <p>All files are named according to the respective figure numbers of the manuscript. </p>
Reversible H2 oxidation and evolution by hydrogenase embedded in a redox polymer film
<p>This Upload contains the source data sets of all measurements shown in the Nature Catalysis manuscript NATCATAL-20033655A.</p> <p>All folder and file names correspond to the respective figure numbers of the manuscript.</p>
Polymer Electrolyte Membrane Water Electrolyzer Oxygen Bubble Evolution Optical Video Recording For Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli
<p>Dataset used for the training of the segmentation model employed in the work "Deep Learning-Enhanced Characterization of Bubble Dynamics in Proton Exchange Membrane Water Electrolyzer" by André Colliard-Granero, Keusra A. Gompou, Christian Rodenbücher, Kourosh Malek, Michael H. Eikerling, and Mohammad J. Eslamibidgoli. This dataset consists in 35 images and the corresponding manual annotated masks of diverse bubbly scenarios extracted from the optical video recording of a PEMWE with a transparent flow field.</p>
Universal behavior of low-temperature heat capacity of acrylonitrile-butadiene-styrene thermoplastic polymer and its composite with graphene oxide
<p>The low-temperature dependence of the heat capacity of acrylonitrile-butadiene-styrene (ABS) polymer and its composite with thermally reduced graphene oxide was studied. The existence of a so-called “boson peak” characteristic of orientational and structural glasses was demonstrated. The boson peak appears in the form of a local maximum in the heat capacity curve displayed as C/T<sup>3</sup> vs T at T<sub>max</sub> = 3.52 K. It was found that for both ABS polymer and its composite, as well as for a number of other substances of a crystalline and amorphous nature, the manifestation of the anomaly of the boson peak in the heat capacity has a universal character that is described by an empirical function Δ*. The value of Δ* depends on the magnitude of the anomaly in the heat capacity and the temperature of the boson peak manifestation. Thus, this study provides new physical information about the possible causes of the boson peak appearance in disordered materials and indicates the universality of boson peak anomaly for substances with short- and long-range order</p>
Data for Identifying Knot Types of Polymer Conformations by Machine Learning
<h1>Training Data and Generalizability Testsets</h1> <h2>For the publication PhysRevE.101.022502</h2> <pre>@article{PhysRevE.101.022502, title = {Identifying knot types of polymer conformations by machine learning}, author = {Vandans, Olafs and Yang, Kaiyuan and Wu, Zhongtao and Dai, Liang}, journal = {Phys. Rev. E}, volume = {101}, issue = {2}, pages = {022502}, numpages = {10}, year = {2020}, month = {Feb}, publisher = {American Physical Society}, doi = {10.1103/PhysRevE.101.022502}, url = {https://link.aps.org/doi/10.1103/PhysRevE.101.022502} }</pre> <h2>GitHub source code demo using this dataset: </h2> <p><a href="https://github.com/CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020"><strong>🥨 https://github.com/CompSoftMatterBiophysics-CityU-HK/Identify-Knot-Types-by-ML-PRE2020</strong></a></p> <p><strong>The above GitHub repo provide <strong>a docker, training code, best model with weights, and two showcases of generalizability</strong>.</strong></p>
Porous Organic Polymers with Heterocyclic Crown Ethers for Selective Lithium-Ion Capture
<p>Abstract of the publication: Lithium is a key resource of the 21st century. Despite that, Li is traditionally mined rather than obtained from maritime brines or secondary sources such as spent energy-storage devices owing to the difficulties in Li recovery. Herein, we present a porous organic polymer capable of capturing Li ions from aqueous solutions through highly pre-organized heterocyclic crown ether-like pores in the polymer backbone. These features enable Li+ uptake capacities over 120 mg g-1 and selectivity versus highly competitive ions such as Na+, Ca2+, and Mg2+.</p> <p> </p>
Dataset of the publication: Hybrid Heterostructures of a Spin Crossover Coordination Polymer on MoS2: Elucidating the Role of the 2D Substrate. Small 2023, 19, e2304954.
<p><span> Dataset of the publication: Hybrid Heterostructures of a Spin Crossover Coordination Polymer on MoS2: Elucidating the Role of the 2D Substrate.</span></p> <p><span><span>A. Núñez-López, R. Torres-Cavanillas, M. Morant-Giner, N. Vassilyeva, R. Mattana, S. Tatay, P. Ohresser, E. Otero, E. Fonda, M. Paulus, V. Rubio-Giménez, A. Forment-Aliaga, E. Coronado, <em>Small</em> <strong>2023</strong>, <em>19</em>, e2304954.</span> </span></p> <p><span><span>doi: 10.1002/smll.202304954</span></span></p> <p><span><span><span>10.1002/smll.202304954</span><span>10.1002/smll.202304954<span>10.1002/smll.202304954</span></span></span></span></p>
Interactions of Meibum and Tears with Mucomimetic Polymers
<p>Surface pressure/area isotherms and stress relaxation transients of surface films by meibomian gland secretions in presence of mucomimetic polymers. The data are obtained by Langmuir surface balance methodology. All technical details are available in the related publication.</p>
Research Data Supporting "Controlling Exchange Pathways in Dynamic Supramolecular Polymers by Controlling Defects"
<p>This repository contains the set of data shown in the paper "<strong>Controlling Exchange Pathways in Dynamic Supramolecular Polymers by Controlling Defects</strong>", published on <strong>ACS Nano</strong> (DOI: 10.1021/acsnano.1c01398).</p> <p>The data stored in this section is organized as follow:</p> <p><strong>supervisedClustering/ :</strong> folder containing scripts for carrying out the supervised analysis as discussed in the main paper. Subfolders are divided in <strong><code>kmeans</code></strong><code><strong>/</strong></code> and <strong><code>spectral</code></strong><code>/</code> contain the different analysis as explained in the paper.</p> <p><strong>unbiasMD/ : </strong>folder containing the Gromacs input files for reproducing the unbias MD trajectories of the 3 types of fiber, as explained in the paper.</p> <p><strong>biasMD/</strong> <strong>:</strong> folder containing the PLUMED input files for reproducing enhanced sampling dynamics as discussed in the paper.</p> <p><strong>unsupervisedClustering/ : </strong>folder containing the directions and the original files to reproduce the unsupervised clustering results.</p>
Near-surface rheology and hydrodynamic boundary condition of semi-dilute polymer solutions
<p>Data appearing in the figures of the article DOI:10.1039/D0SM02116D.</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.