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334 results for “foam”
Dataset for paper entitled "Developing Reliable Foam Sensors with Novel Electrodes"
<p>This dataset includes all the experimental results presented in the IEEE Sensors 2019 paper "Developing Reliable Foam Sensors with Novel Electrodes" (DOI: 10.1109/SENSORS43011.2019.8956750).<br> URL of IEEE Xplore:<br> https://ieeexplore.ieee.org/document/8956750</p> <p>List of data in this dataset:<br> Fig-1-Stress-Strain curves of PU foam and Coated foam.xlsx<br> Fig-3-Conductive foam without electrodes.xlsx<br> Fig-4-Foam sensor with Ag electrodes.xlsx<br> Fig-5-Foam sensor-stability-100cycles.xlsx</p> <p>All the data included in this dataset were collected by Dr. Hongbo Wang.</p> <p>Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com</p>
Energy recovery by an unbiased gas phase photofuel cell with a nickel foam supported WO3 photoanode decorated with plasmonic gold clusters
<p>Dataset for the article titled "Energy recovery by an unbiased gas phase photofuel cell with a nickel foam supported WO3 photoanode decorated with plasmonic gold clusters".</p> <p>This research was conducted at Antwerp Engineering, Photoelectrochemistry and Sensing (A-PECS) group, University of Antwerp, Belgium.</p>
FOAMS: Processed Audio Files
<p>The processed audio files included in the Free Open-Access Misophonia Stimuli (FOAMS) project to curate a freely available database of sound stimuli intended for misophonia research.</p> <p>If you use this database, please credit it as follows:</p> <p>Orloff, D. M., Benesch, D., & Hansen, H. A. (2023). Curation of FOAMS: a Free Open-Access Misophonia Stimuli Database. <em>Journal of Open Psychology Data</em>, <em>11</em>(1).</p>
FOAMS: Original Audio Files
<p>The original audio files used in the Free Open-Access Misophonia Stimuli (FOAMS) project to curate a freely available database of sound stimuli intended for misophonia research.</p>
Active Foam Dynamics of Tissue Spheroid Fusion (Datasets and scripts)
<p>The file attached supporting information for the paper "Active Foam Dynamics of Tissue Spheroid Fusion". Included are data from experiments, data from simulations, and a singularity image to execute a demo simulation similarly to the ones of the paper. </p>
Data from: Exploring rainforest diversification using demographic model testing in the African foam-nest treefrog (Chiromantis rufescens)
Aim: Species with wide distributions spanning the African Guinean and Congolian rainforests are often composed of genetically distinct populations or cryptic species with geographic distributions that mirror the locations of the remaining forest habitats. We used phylogeographic inference and demographic model testing to evaluate diversification models in a widespread rainforest species, the African Foam-nest Treefrog (Chiromantis rufescens). Location: Guinean and Congolian rainforests, West and Central Africa. Taxon: Chiromantis rufescens. Methods: We collected mitochondrial DNA (mtDNA) and single nucleotide polymorphism (SNP) data for 130 samples of Chiromantis rufescens. After estimating population structure and inferring species trees using coalescent methods, we tested demographic models to evaluate alternative population divergence histories that varied with respect to gene flow, population size change, and periods of isolation and secondary contact. Species distribution models were used to identify regions of climatic stability that could have served as forest refugia since the Last Interglacial. Results: Population structure within Chiromantis rufescens resembles the major biogeographic regions of the Guinean and Congolian forests. Coalescent-based phylogenetic analyses provide strong support for an early divergence between the western Upper Guinean forest and the remaining populations. Demographic inferences support diversification models with gene flow and population size changes even in cases where contemporary populations are currently allopatric, which provides support for forest refugia and barrier models. Species distribution models suggest that forest refugia were available for each of the populations throughout the Pleistocene. Main conclusions: Considering historical demography is essential for understanding population diversification, especially in complex landscapes such as those found in the Guineo-Congolian forest. Population demographic inferences help connect patterns of genetic variation to diversification model predictions. The diversification history of Chiromantis rufescens was shaped by a variety of processes, including vicariance from river barriers, forest fragmentation, and adaptive evolution along environmental gradients.
Mechanical Response of Foams: Elasticity, Plasticity, and Rearrangements (Supplemental Material)
<p>Supplemental material to <a href="https://openaccess.leidenuniv.nl/handle/1887/40902"><em>Mechanical Response of Foams: Elasticity, Plasticity, and Rearrangements</em>; hdl:1887/40902</a>. The supplemental material consists of 9 videos:</p> <p><strong>S1, S2</strong><br /> Two examples of foam under shear, φ = 0.85 (S1) and φ = 1.25 (S2). The foam is sheared from s<sub>CD</sub> = − 0.2 to s<sub>CD</sub> = + 0.2 at γ̇=3 × 10<sup>−5</sup> /s. Time and a scale bar are indicated in the top right; the video is sped up 250× .<br /> <br /> <strong>S3,S4</strong><br /> Difference imaging for direct (top) and affine-corrected (bottom) images, for the same systems as in S1 and S2. Both the real space (left) and difference images (right) are shown. The direct difference images are dominated by the affine deformation, while the affine-corrected difference images highlight the nonaffine motion in the system.</p> <p><strong>S5,S6</strong><br /> Tracked particle trajectories for the same systems as in S1 and S2. Particle trajectories are indicated using white curves. Left: direct tracking data, right: affine-corrected tracking data.</p> <p><strong>S7</strong><br /> Compression of a foam from φ = 0.77to φ = 1.41 under ε̇ = − 3 × 10<sup>−5</sup> /s. (left) Real space image; (right) from top to bottom: flame graph and log<sub>10</sub> A and β from the power law fit Eq. (4.21). Time is indicated on the top left, φ is indicated at the bottom left. With increasing confinement, we observe a transition from fully smooth to fully intermittent behavior.</p> <p><br /> <strong>S8,S9</strong><br /> Two examples of foam under shear, φ = 0.9 (S8) and φ = 1.5 (S9). The foam is sheared from s<sub>CD</sub> = −0.2 to s<sub>CD</sub> = +0.2 at γ̇=3 × 10<sup>−5</sup> /s. At low density, A ≈ 10<sup>−6</sup> and β ≈ 1.6 are fairly constant, while we can clearly distinguish the quiet and active periods for the high density foam.</p>
FOAM 02: Impedance tube measurements of two porous materials with diameter variation
<p>This dataset provides the data for Reference:</p> <p>[1] Alfonso Caiazzo, Florian Kraxberger, Christian Adams, Andreas Wurzinger, Jan Boysen, Giuseppe Petrone, Stefan Schoder, Sergio De Rosa, Manfred Kaltenbacher, and Christian Adams: FOAM 02: A dataset of impedance tube measurements with different materials and diameter variations. Acta Acustica 9 (50), 2025. <a href="https://doi.org/10.1051/aacus/2025033" target="_blank" rel="noopener noreferrer">https://doi.org/10.1051/aacus/2025033</a></p> <p> </p> <p>This dataset consists of three .csv files: </p> <ul> <li>alphas.csv: absorption coefficients vs. frequencies (comma-separated), 864 rows according <br>to 864 measurements </li> <li>targets.csv: one-hot encoded, i.e., binary, vectors of the parameter combinations), 864 rows <br>according to 864 measurements. The Read_Me.pdf gives further information on the one-hot <br>encoded vectors. </li> <li>diameter.csv: calliper diametric measurement in millimetres [mm]. This file contains <br>864 rows according to 864 measurements and 6 columns that, in order, represent: top <br>diameter at 0°, top diameter at 90°, bottom diameter at 0°, bottom diameter at 90°, <br>mean diameter, and standard deviation. </li> </ul> <p><br>The frequencies range from 150 Hz to 1600 Hz with resolution of 2 Hz. Note that these limits are <br>not strictly equal to the frequency limits of the impedance tube, see ISO 10534-2. </p> <p><br>The data and code are licensed under Apache License, Version 2.0 <br>https://opensource.org/licenses/Apache-2.0 </p> <p><br>Any reuse of the data must properly cite the dataset and its authors. </p> <p> </p> <p>Contact:<br>Univ.-Prof. Dr. Christian Adams<br>Graz University of Technology<br>Inffeldgasse 16c<br>8010 Graz, Austria<br>christian.adams@tugraz.at</p>
Dataset of the manuscript: Efficient removal of nanoplastics from industrial wastewater through synergetic electrophoretic deposition and particle-stabilized foam formation
<p>This dataset is based on the data underlying the figures shown in the manuscript titled Efficient removal of nanoplastics from industrial wastewater through synergetic electrophoretic deposition and particle-stabilized foam formation. A readme file is uploaded to decribe the content of all data folders. All data are sorted according to their appearance in the figures of the main manuscript.</p>
PostConsumer r-PET Trials from Bottle&Tray Mix for Foam Board Production
<p>For Armacell, the challenges related to recycling PET tray material are the low intrinsic viscosity (IV), the frequent use of multilayer sheets in packaging trays and other contaminations coming from the mixed plastic household waste collection.</p> <p>To achieve the correct mechanical properties for the PET foam boards, it is essential to limit raw material variations and to master material melt viscosity and pressure in the extruder. With a combination of adapted processing parameters, as well as new melt modifier formulation, it is possible to produce foam boards from tray-PET that have a comparable quality to foam boards produced from bottle PET.</p> <p>Attached, different properties and results from the tested postconsumer material and the foam board produced are presented sown to the H2020 PlastiCircle Project.</p>
Phanerozoic global climatic fields simulated using the FOAM ocean-atmosphere general circulation model
<p>These files contain the output of Phanerozoic global climate simulations conducted using the coupled ocean-atmosphere FOAM general circulation model. They are available every 20 Myrs between 540 Ma and 0 Ma, both included. All simulations have been conducted using identical boundary conditions; pCO2: 2240 ppm, solar luminosity: 1368 W m-2, vegetation: rocky desert, orbital configuration: null eccentricity and minimum obliquity. Only the continental configuration was varied from one time slice to the other (sensitivity test to the continental configuration), using the reconstructions of Scotese and Wright (https://www.earthbyte.org/paleodem-resource-scotese-and-wright-2018/).</p> <p>The reader is referred to the associated paper for a full description of the model and boundary conditions.</p> <p>All file names use the following pattern: "[age]rd_1368W_EccN_[model_component]_2240ppm.nc", with [age], the age expressed in million years ago, and [model_component] being 'atmos', 'ocean' or 'coupl' (atmospheric and oceanic components, plus coupler).</p>
Numerical Evaluation of Spin Foam Amplitudes beyond simplices
<p>Dataset containing intertwiners and vertex amplitude evaluations for cuboid and frustum data associated with the paper arXiv:2201.09902.</p> <p>Data comes in two groups, one for cuboid boundary data, one for frustum boundary data of the coherent vertex amplitude.</p> <p>Intertwiner data are stored as text files, where the name of the files contain the three representations necessary to specify either cuboid or frustum intertwiners.</p> <p>Folders results contain the evaluations of vertex amplitudes. Again, the files contain all representations necessary to specify the hypercuboid (six representations) or hyperfrustum (three representations). See the paper for more details.</p> <p>(To get the actual values of the spins, they need to be devided by 2.)</p> <p>Code to automatically read in the intertwiner files and compute the vertex amplitude can be found at: https://github.com/CourtA96/SpinfoamAmplitudesOfCuboidsAndFrustra</p>
Linear rheology of liquid foam - data from "Delayed elastic contributions to the viscoelastic response of foams"
<p>Linear rheological data of Gillette shaving cream "normal skin" made by Gillette UK LTD, acquired at the Department of Physics, University of Fribourg, Switzerland, between 2019 and 2022. Dataset contains elastic modulus, creep-recovery, stress relaxation, and frequency sweep experimental data, together with model data, as described in "Delayed elastic contributions to the viscoelastic response of foams", The Journal of Chemical Physics, 2022, published in the special issue <em>Slow Dynamics</em> [DOI: 10.1063/5.0085773].</p>
Dataset for paper "Towards "Matter matters" in spin foam quantum gravity"
<p>This is a dataset and Julia tools for evaluation / presentation corresponding to the article: https://arxiv.org/abs/2206.04076</p> <p>The data correspond to samples of a coupled spin foam / matter system (via a Markov Chain Monte Carlo algorithm) for different lattice sizes. We also add an IJulia file and to generate the plots from the data and eventually modify them to study also other aspects.</p> <p>The code to generate these samples can be found at: https://github.com/amoosam/CuboidSpinfoamScalarField</p>
Phanerozoic global climatic fields simulated using the mixed-layer general circulation model FOAM
<p>These files contain the output of Phanerozoic global climate simulations conducted using the “slab” mixed-layer ocean-atmosphere general circulation model FOAM. They are available every 20 Myrs between 540 Ma and 0 Ma, both included. Boundary conditions were adapted to best match each time slice. Continental reconstructions were taken from Scotese and Wright (https://www.earthbyte.org/paleodem-resource-scotese-and-wright-2018/). We defined pCO2 after the proxy data compilation of Foster et al. (doi:10.1038/ncomms14845) when available and Krause et al. (dot:10.1038/s41467-018-06383-y) for older time slices. Solar luminosity followed Gough et al. (doi:10.1007/BF00151270). Continental vegetation was set to Modern-like latitudinal bands between 0 Ma and 100 Ma (included), tropical evergreen, broad-leaved forest between 120 Ma and 360 Ma (included), tundra between 380 Ma and 440 Ma (included) and rocky desert afterwards. The orbital configuration was set to null eccentricity and minimum obliquity. </p> <p>The reader is referred to the associated paper for a full description of the model and boundary conditions.</p> <p>All model output file names use the following pattern: « [age]ebP2_solCgough1981_EccN_pCO2FosterKr_[model_component] _slab.nc", with [age], the age expressed in million years ago, and [model_component] being 'atmos' or 'coupl' (atmospheric component or coupler). For each time slice, the topography-bathymetry data used in FOAM is also provided (« Topobathy_[age]eb_postslarti_cor.nc »).</p>
accumulator 600ml foam p0 40bar p1 80bar
<p>This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br><br>The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br><br>This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br>The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br><br>The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br>The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br><br>If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br>Thank you.<br><br>Yours sincerely<br><br><br><br><strong>LICENSE NOTICE</strong>:<br>This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)</p>
accumulator 600ml foam p0 40bar p1 60bar
<p>This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br><br>The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br><br>This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br>The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br><br>The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br>The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br><br>If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br>Thank you.<br><br>Yours sincerely<br><br><br><br><strong>LICENSE NOTICE</strong>:<br>This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)</p>
accumulator 600ml foam p0 20bar p1 60bar
<p>This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br><br>The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br><br>This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br>The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br><br>The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br>The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br><br>If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br>Thank you.<br><br>Yours sincerely<br><br><br><br>LICENSE NOTICE:<br>This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)</p>
accumulator 600ml foam p0 20bar p1 40bar
<p>This is a dataset publication with multiple measurements seperated into different .mat files created at the Institut für Fluidsystemtechnik (Cair of Fluid Systems) at the Technische Universität Darmstadt (Technical University of Darmstadt (https://ror.org/05n911h24)).<br><br>The experimental data include dynamic characterisations of gas accumulators. The data was determined on a dynamic uni-axial test machine. Each measurement-file contains the measurement at a monofrequency harmonic excitation.<br><br>This dataset publication also contains, in addition to the measurement files, an RDF (Resource Description Framework) 'METADATA.ttl' file in the RDF Turtle format containing some metadata of the measurements.<br>The structure of the measurement- and RDF-data represent a interim stage on the way to FAIR measurement data and is therefore to be considered as work in progress.<br><br>The different measurement files in the .mat format contain different time series and corresponding metadata. The various measurements differ in various parameters (e.g. excitation frequency, excitation amplitude, ambient temperature, etc.).<br>The used RDF information model does not yet cover all the metadata stored in the various .mat measurement files.<br><br>If you have further questions, please feel free to contact info*AT*fst.tu-darmstadt.de .<br>Thank you.<br><br>Yours sincerely<br><br><br><br><strong>LICENSE NOTICE</strong>:<br>This dataset is licensed under the 'CC-BY-4.0' License (https://creativecommons.org/licenses/by/4.0/)</p>
Data for the paper: The Role of Glycerol in Manufacturing Freeze-Dried Chitosan and Cellulose Foams for Mechanically Stable Scaffolds in Skin Tissue Engineering
<p>The Dataset contains all the data, described in the article "<strong>The Role of Glycerol in Manufacturing Freeze-Dried Chitosan </strong><br><strong>and Cellulose Foams for Mechanically Stable Scaffolds in Skin Tissue Engineering</strong>."</p> <p><strong><em>Abstract</em></strong><br>Various strategies have extensively explored enhancing the physical and biological properties of chitosan and cellulose scaffolds for skin tissue engineering. This study presents a straightforward method involving the addition of glycerol into highly porous structures of two polysaccharide complexes: chitosan/carboxymethyl cellulose (Chit/CMC) and chitosan/oxidized cellulose (Chit/OC); during a one-step freeze-drying process. Adding glycerol, especially to Chit/CMC, significantly increased stability, prevented degradation, and improved mechanical strength by nearly 50%. Importantly, after 21 days of incubation in enzymatic medium Chit/CMC scaffold has almost completely decomposed, while foams reinforced with glycerol exhibited only 40% mass loss. It is possible due to differences in multivalent cations and polymer chain contraction, resulting in varied hydrogen bonding <br>and, consequently, distinct physicochemical outcomes. Additionally, the scaffolds with glycerol improved the cellular activities resulting in over 40% higher proliferation of fibroblast after 21 days of incubation. It was achieved by imparting water resistance to the highly absorbent material and aiding in achieving a balance between hydrophilic and hydrophobic properties. This study clearly indicates the possible elimination of additional crosslinkers and multiple fabrication steps that can reduce the cost of scaffold production for skin tissue engineering applications while tailoring mechanical strength and degradation.</p> <p><strong>Figure 2.</strong> Morphology. SEM micrographs of the internal structure of the freeze-dried scaffolds. Results of porosity analysis. The methodology and data are described in the README file in the folder.</p> <p><strong>Figure 3.</strong> Mechanical test results. Representative stress-strain curves from the tensile test of all freeze-dried scaffolds, where (A)<br>– measurement performed in dry conditions, (B) – measurement performed in wet conditions. All are described in the README file in the folder.</p> <p><strong>Figure 4. </strong>Swelling behavior of all scaffolds. B – Two representative vials with a visual demonstration of swelling, samples marked with circles: Chit/CMC sample submerged in the PBS (blue circle) and Chit/CMC/Glyc sample floating on the surface (green circle). The arrows lead to photos of scaffolds taken from vials directly after swelling. C – Gel fraction analysis in aqueous solution after 24 <br>6 h. D – Time after which the water droplet is absorbed into the scaffold. E – Photographs of water droplet shape changes on Chit/CMC and Chit/CMC/Glyc scaffolds over time. All are described in the README file in the folder.</p> <p><strong>Figure 5</strong>. Fourier Transform Infrared Spectroscopy (ATR-FTIR) analysis results. Details are in the README file in the folder.</p> <p><strong>Figure 6.</strong> The FTIR spectra of eluates from degraded scaffolds collected on a microscopic glass slide. Details are in the README file in the folder.</p> <p><strong>Figure 7.</strong> The degradation studies of all scaffolds over 21 days of experiments in A – enzymatic medium. B – cell culture medium. Details are in the README file in the folder.</p> <p><strong>Figure 9. </strong>Cell experiments and toxicity analysis. Cytotoxicity of eluates taken from degraded scaffolds. B – Direct fibroblast seeding on scaffolds during 14 days of culture period. C – Direct fibroblast seeding on scaffolds during 14 days of culture period without control to better see the effect of glycerol. Details are in the README file in the folder.</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.