Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
509
datasets available to search
ShareScore release 0.9.0
Dataset results
509 results for “resins”
FIGURE 5 in Challenges encountered during acid resin transfer preparation of fossil fish from Monte Bolca, Italy
FIGURE 5. Oxford University Museum specimen CM4312 Blochius longirostris, set in Synolite 0328-A-1.
FIGURE 6 in Variation in the Deterioration of Fossil Resins and Implications for the Conservation of Fossils in Amber
FIGURE 6. Yellowing of the five resins following heat aging, based on change in CIELab values.
Annotated datasets of Scots pine cross-sectional images for root rot detection and resin detection
<p>These are the annotated datasets used in the publication available at</p> <p><a href="https://doi.org/10.1080/14942119.2024.2327247">https://doi.org/10.1080/14942119.2024.2327247</a></p> <p>The first dataset is for root rot detection, the other dataset is for resin detection. Please see the publication for details.</p>
FURTHER RANGE EXPANSION OF THE SCULPTURED RESIN BEE (MEGACHILE SCULPTURALIS) IN SERBIA AND BOSNIA & HERZEGOVINA (SUPPLEMENTARY MATERIAL)
<p><strong>Table S1.</strong> Records of <em>M. sculpturalis</em> from Serbia and Bosnia & Herzegovina during 2020, sorted chronologically. The unit record is defined as unique locality/date combination, hence, some recording sites encompass repeated recording events (being re-visited for various purposes); however, in few cases of extended observation of nesting activity, repeated reports are omitted. Source of data is abbreviated as: OR – Own Research (surveying by co-authors), or CSP – Citizen Science Project reports. Coordinates (Latitude, Longitude) are given in WGS84 system. Locations are given as broader toponyms and/or in combination with smaller units (municipalities, etc.), while coordinates were used to define the basic locality-units. Recorded by: co-authors are shown by initials, full surnames given for CSP contributors (but only initials if withheld by request). Recording context: mostly recorded on blooming <em>Styphnolobium</em> trees (49 out of 64), 7 based on nesting (but #46 includes both the nesting and observation on <em>Styphnolobium</em> within the same site), 9 were other contexts. Sex: F – female, M – males; indicates positively established sex of the observed specimens (some reports likely include both sexes, but undocumented). Sampling: number of collected specimens, followed by "p" if some included pollen.</p>
Chemical imaging data collected on wood board sections after impregnation-treatment with phenol formaldehyde resin
<p>This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: <a href="https://doi.org/10.1016/j.matdes.2022.111481">https://doi.org/10.1016/j.matdes.2022.111481</a>.</p> <p>The data was obtained from beech wood board sections (75x15x25 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication.</p> <p>The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs and the weight percent gains caused by the resin treatment of each sample in the dataset. To generate the NIR image files, regions of interest of 881 x 384 pixels (subsets a,b,c,d) or 2401 x 375 pixels were selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name.</p> <p>The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.</p>
Chemical imaging data collected on small wood cubes after impregnation-treatment with phenol formaldehyde resin
<p>This dataset contains UV microspectrophotometry (UMSP) and near infrared (NIR) imaging data from the following publication: Altgen M., Awais M. Altgen D., Klüppel A., Koch G., Mäkelä M., Olbrich A., Rautkari L. (2022) Chemical imaging to reveal the resin distribution in impregnation-treated wood at different spatial scales. Materials & Design, DOI: <a href="https://doi.org/10.1016/j.matdes.2022.111481">https://doi.org/10.1016/j.matdes.2022.111481</a>.</p> <p>The data was measured on small beech wood cubes (15x15x15 mm<sup>3</sup>) that were impregnation-treated with a low molecular weight phenol formaldehyde resin. Experimental details can be found in the publication.</p> <p>The file “NIR sample IDs with weight and dimensional changes.csv” contains the sample IDs as well as the weight percent gains and dimensional changes caused by the resin treatment of each sample in the dataset. To generate the NIR image files, a region of interest of 881 x 384 pixels was selected from the raw image files to produce an image that contains the sample surrounded by background. The spectral data was corrected using the calibration reflectance target values and then converted to absorbance. Each NIR image is stored in a separate MATLAB file (.mat) with the sample ID as the file name.</p> <p>The file "UMSP sample IDs.csv" contains the sample IDs of the UMSP images. The folder "UMSP image profiles.zip" contains the corresponding UMSP image profiles, which are stored as excel files (.xlsx) with the sample IDs as file names. The files contain the absorbance at 278 nm per pixel with a pixel resolution of 0.25 x 0.25 µm<sup>2</sup>.</p>
Block chemistry for accurate modeling of epoxy resins
<p><strong>## Abstract</strong></p> <p>from [1]:</p> <blockquote> <p>Accurate molecular modelling of the physical and chemical behavior of highly cross-linked epoxy resins at the atomistic scale is important for the design of new property-optimized materials. However, a systematic approach to parametrizing and characterizing these systems in molecular dynamics is missing. We, therefore, present a unified scheme to derive atomic charges for amine-based epoxy resins, in agreement with the AMBER force field, based on defining reactive fragments – blocks – building the network. The approach is applicable to all stages of curing, from pure liquid, to gelation, to fully cured glass. We utilize this approach to study DGEBA/DDS epoxy systems, incorporating dynamic topology changes into atomistic Molecular Dynamics simulations of the curing reaction with 127,000 atoms. We study size effects in our simulations and predict the gel point utilizing rigorous percolation theory to accurately recover the experimental data. Furthermore, we observe excellent agreement between the estimated and the experimentally determined glass transition temperatures as a function of curing rate. Finally, we demonstrate the quality of our model by the prediction of the elastic modulus, based on uniaxial tensile tests. The presented scheme paves the way for a broadly consistent approach for modelling and characterizing all amine-based epoxy resins.</p> </blockquote> <p><strong>## Contact</strong></p> <p>Ana-Sunčana Smith and Christian R. Wick</p> <p>Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Faculty of Science, Department of Physics, PULS Group, Interdisciplinary Center for Nanostructured Films (IZNF), Cauerstrasse 3, 91058, Germany</p> <p> </p> <p><strong>## License</strong></p> <p>Creative Commons Attribution 4.0 International</p> <p> </p> <p><strong>## Context</strong></p> <p>Dataset to paper: [1]</p> <p>All input scripts and force field files presented in [1]</p> <p> </p> <p><strong>## Folder structure</strong></p> <ul> <li>amberLib (cf. page 9-12 of [1]) <ul> <li>Amber lib and frcmod files for all the Amber residues necessary to reconstruct the charge fragmentation scheme for the DGEBA epoxy resin and the amine hardeners DDS, DICY and IPTA.</li> <li>Examples containing leap input scripts to construct DGEBA molecules of length n.</li> </ul> </li> <li>lammps <ul> <li>data (cf. page 12 of [1]) <ul> <li>The Lammps data files for the five DGEBA/DDS MD systems, straight out of assembling by Packmol (no minimization performed yet).</li> </ul> </li> <li>fixBondReact (cf. page 18 of [1]) <ul> <li>Pre- and post-reaction topology and map files to run the curing simulations. Compatible with Lammps Stable Dec. 2018.</li> </ul> </li> <li>inputScripts <ul> <li>minimizationEquilibration (cf. page 13 of [1]) <ul> <li>The Lammps scripts for initial minimization and equilibration.</li> </ul> </li> <li>crossLinking (cf. page 18 of [1]) <ul> <li>Input scripts to run curing simulations and their corresponding annealing cycles.</li> </ul> </li> <li>tg (cf. page 23 of [1]) <ul> <li>Input scripts to run the annealing procedure required to collect density data for the measurement of glass transition temperature. The procedure is split into three parts due to cluster walltime.</li> </ul> </li> <li>tensileTests (cf. page 28 of [1]) <ul> <li>Input script to run the uniaxial deformation with isotropic barostat in the lateral directions.</li> </ul> </li> <li>postCuringAnnealing (cf. page 28 of [1]) <ul> <li>Input scripts to run the post-curing annealing protocol.</li> </ul> </li> </ul> </li> </ul> </li> <li> <p>lammps_noCharge (cf. page 18 of [1])</p> <ul> <li> <p>Example Lammps input/data required to simulate cross-linking in the absence of Coulomb interactions.</p> </li> </ul> </li> <li>curingReaction (cf. page 13 of [1]) <ul> <li>optimized structures for reactants, transition structures and products for uncatalysed concerted and step wise reactions and for the alcohol catalysed step wise reactions at wB97XD/def2-TZVP level of theory</li> </ul> </li> </ul> <p> </p> <p><strong>## Software</strong></p> <ul> <li>DFT Calcualtions: Gaussian 16 Rev B01 [2]</li> <li>Simulations: LAMMPS (Dec 2018, stable) </li> </ul> <p> </p> <p><strong>## Funding</strong></p> <p>This research was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 377472739/GRK 2423/1-2019 FRASCAL</p> <p> </p> <p><strong>## References</strong></p> <p>[1] M. Livraghi, S. Pahi, Piotr Nowakowski, D. M. Smith, C. R. Wick, A.-S. Smith, "Block chemistry for accurate modeling of epoxy resins".</p> <p>[2] Frisch, M. J.; Trucks, G. W.; Schlegel, H. B.; Scuseria, G. E.; Robb, M. A.; Cheeseman, J. R.; Scalmani, G.; Barone, V.; Petersson, G. A.; Nakatsuji, H.; et al. Gaussian 16 Rev. B.01, 2016.</p> <p>[3] Plimpton, S. Fast Parallel Algorithms for Short-Range Molecular Dynamics. Journal of Computational Physics 1995, 117 (1), 1–19.</p>
Impact of irradiation on the adhesive performance of resin-based dental biomaterials: a systematic review of laboratory studies
<p>BibTeX file of the electronic searches that were conduced in five databases, Cochrane Library, Embase, OpenGrey through DANS, PubMed, and Web of Science, on 10/01/2023. </p>
Shear bond strength of three universal adhesives to three CAD-CAM resin-based composites with and without a silane coupling agent
<p>i) The dataset acquired and analyzed in a laboratory study assessing the effect of three universal adhesives and a two-component silane coupling agent on the shear bond strength to three CAD-CAM resin-based composites with dispersed fillers (CCRBCs). </p> <p>ii) Data on the randomized allocation of specimens using computer-generated sequences created with free online software. </p>
Horse Resin Crafts
Horse Scanned by Thunk3D Handheld Scanner fisher W Contact me for more information. Whatsapp/phone/wechat: +86 18518781107 Email:daicy@thunk3d.com Facebook:www.facebook.com/qinqin.li.77 Linkedin: https://www.linkedin.com/in/daicy-li-399b82119/ Titter: https://twitter.com/DaicyLi Source: Objaverse 1.0 / Sketchfab
Resin Infiltration to Arrest Early Tooth Decay
ClinicalTrials.gov study NCT01584024. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Clinical and Microbial Study of Reinforced 3D Printed Maxillary Denture Base Resin
ClinicalTrials.gov study NCT06921577. IPD Sharing: NO. Countries: 1. Publications: 1.
"Comparison of the Effects of Resin Infiltrant, Fluoride Varnish, and the Combined Application of Resin Infiltrant and Fluoride Varnish on Primary Molars in the Treatment of Proximal Non-Cavitated Car
ClinicalTrials.gov study NCT07112963. IPD Sharing: UNDECIDED. Countries: 1. Publications: 2.
Evaluation of a "Flash-free" Adhesive Resin for Orthodontic Bracket Bonding
ClinicalTrials.gov study NCT02030002. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Evaluation Of Marginal Bone Height Changes And Biting Force In Screw Retained Implant Prostheses Using Reinforced Resin Vs Monolithic Zirconium
ClinicalTrials.gov study NCT07007572. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
In Vivo Assessment of the Tooth-Resin Composite Interface Using Optical Coherence Tomography
ClinicalTrials.gov study NCT05145322. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Effect of Phosphoric Acid Etching Duration on Direct Resin-Based Composite Restorations in Permanent Anterior Teeth
ClinicalTrials.gov study NCT06991842. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.
Effectiveness of Bioactive Resin Varnish and Fluoride Containing Xylitol Varnish in Management of Teeth Hypersensitivity
ClinicalTrials.gov study NCT04568473. IPD Sharing: NO. Countries: 1. Publications: 1.
Resin Infiltration and Resin Infiltration With Bleaching in Improving the Esthetics for Fluorosis Stains
ClinicalTrials.gov study NCT01733888. IPD Sharing: NO. Countries: 1. Publications: 1.
Caries Prevention Effect of S-PRG Filler Incorporated in Denture Base Resins on Edentulous Elderly People
ClinicalTrials.gov study NCT02460562. IPD Sharing: YES. Countries: 1. Publications: 4.
ScienceDex guides
Understand access before you commit
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.