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8 results for “polymer types”
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>
In-depth characterization revealed polymer type and chemical content specific effects of microplastic on Dreissena bugensis
<p>The files contain datasets that were generated during laboratory-based real-time valvometry, and laser doppler anemometry measurements. The article was published in Journal of Hazardous Materials (accepted June 8, 2022).</p>
The effects of microplastics on crop variation depend on polymer types and their interactions with soil nutrient availability and weed competition
<p>Microplastics pollution of agricultural soil is a global environmental concern because of its potential risk to food security and human health. Although many studies have tested the direct effects of microplastics on growth of <em>Eruca sativa</em> Mill., little is known about whether these effects are regulated by fertilization and weed competition in field management practices.</p> <p>Here, we performed a greenhouse experiment growing <em>E. sativa</em> as target species in a three-factorial design with two levels of fertilization (low versus. high), two levels of weed competition treatments (weed competition versus no weed competition) and five levels of microplastic treatments (no microplastics, Polybutylene adipateco-terephthalate [PBAT], Polybutylene succinate [PBS], Polycaprolactone [PCL] or Polypropylene [PP]).</p> <p>Compared to the soil without microplastics, PBS and PCL reduced aboveground biomass and leaf number of the <em>E. sativa</em>. PBS also resulted in increased root allocation and thicker roots in <em>E. sativa</em>. In addition, fertilization significantly mitigated the negative effects of PBS and PCL on aboveground biomass of <em>E. sativa</em>, but weed competition significantly promoted these effects. Although fertilization alleviated the negative effect of PBS on aboveground biomass, such alleviation became weaker under weed competition than when <em>E. sativa</em> grew alone.</p> <p>The results indicate that the effects of specific polymer types on <em>E. sativa</em> growth could be regulated by fertilization, weed management, and even their interactions. Therefore, reasonable on-farm management practices may help in mitigating the negative effects of microplastics pollution on <em>E. sativa</em> growth in agricultural fields.</p>
N-type molecular doping of a semicrystalline conjugated polymer through cation exchange
<p>N-type molecular doping of a semicrystalline conjugated polymer through cation exchange was conducted. UV-Vis absorption, photoelectron yield, and x-ray diffraction measurements were conducted to evaluate the resulting doping levels and stability.</p>
A collection of spectral descriptors for the detection of five polymer types
<p>This set of spectral descriptors was designed for the purpose of detecting the polymers polyethylene (PE), polypropylene (PP), polystyrene (PS), polyacrylonitrile (PAN) and poly(methyl methacrylate) (PMMA).</p> <p>The descriptors can be applied to hyperspectral image datasets using the software tool <a href="http://imagelab.at">Epina ImageLab</a>.</p>
The effects of microplastics on crop variation depend on polymer types and their interactions with soil nutrient availability and weed competition
Open the record for dataset details and reuse information.
Exposure of Bromus hordeaceus to petroleum and plant-based micro- and nanoplastics: Impacts and plant-plastic interactions vary depending on polymer type and growth phase
Open the record for dataset details and reuse information.
Datasets of Chatterjee et al., ACS Appl. Electron. Mater. 4, 5317 (2022), "Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates"
<p>Compilation of the datasets used to generate the figures in the following journal publication:</p> <p>"Impact of polymer-assisted epitaxial graphene growth on various types of SiC substrates"</p> <p>by Atasi Chatterjee, Mattias Kruskopf, Stefan Wundrack, Peter Hinze, Klaus Pierz, Rainer Stosch, and Hansjoerg Scherer,</p> <p>ACS Appl. Electron. Mater. 4, 5317 (2022),</p> <p>DOI: 10.1021/acsaelm.2c00989.</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.