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3,484 results for “Plastic”
Kanzashi - White Plastic
Kanzashi - White Plastic. FBX / PBR. 2k textures. Source: Objaverse 1.0 / Sketchfab
FTIR-Plastics: a Fourier Transform Infrared Spectroscopy dataset for the six most prevalent industrial plastic polymers.
<p><span><span>Two datasets are presented: FTIR-Plastics-C4 and FTIR-Plastics-C8, comprising 6,000 spectra obtained through Fourier Transform Infrared Spectroscopy (FTIR) applied to the six most used synthetic polymers: Polyethylene Terephthalate (PET), High-Density Polyethylene (HDPE), Polyvinyl Chloride (PVC), Low-Density Polyethylene (LDPE), Polypropylene (PP), and Polystyrene (PS). The key feature of the datasets lies in the FTIR analysis, which reports the percentage transmittance as the intensity measure as a function of the wavelength of an Infrared light source, expressed as wavenumber (with units in cm</span></span><sup><span><span>-1</span></span></sup><span><span>). FTIR analysis was performed using a Jasco FTIR PRO 4x spectrophotometer with a wavenumber resolution setting of 8 cm</span></span><sup><span><span>-1</span></span></sup><span><span> for FTIR-Plastics-C8 and 4 cm</span></span><sup><span><span>-1</span></span></sup><span><span> for FTIR-Plastics-C4, both employing a configuration of 32 scans and a range from 4000 to 400 cm</span></span><sup><span><span>-1</span></span></sup><span><span>. The datasets are presented in CSV (comma-separated values) format, including the following information (per each column):</span></span></p> <ul> <li> <p><span><span><strong>IDE</strong></span></span><span><span>: unique identifier of the sample.</span></span></p> </li> <li> <p><span><span><strong>Polymer: </strong></span></span><span><span>type of synthetic polymer (PET, HDPE, PVC, LDPE, PP, or PS).</span></span></p> </li> <li> <p><span><span><strong>Technique: </strong></span></span><span><span>Type of technique used (FTIR).</span></span></p> </li> <li> <p><span><span><strong>Sample: </strong></span></span><span><span>polymer sample number.</span></span></p> </li> <li> <p><span><span><strong>BR</strong></span></span><span><span>: scanning configuration (32).</span></span></p> </li> <li> <p><span><span><strong>RST</strong></span></span><span><span>: resolution configuration (8 or 4 cm</span></span><sup><span><span>-1</span></span></sup><span><span>).</span></span></p> </li> <li> <p><span><span><strong>Data (x) y Data(y): </strong></span></span><span><span>1884 pairs of columns for FTIR-Plastics-C8 and 3751 pairs of columns for FTIR-Plastics-C4, representing values on the "x" axis (wavenumber) and the "y" axis values associated with molecular vibration intensities, indicating the transmittance (%), which differentiates each polymer.</span></span></p> </li> </ul> <p><span><span>Additionally, the files generated by the Jasco spectrophotometer for each polymer are provided, which were standardized by adding a header with the following structure:</span></span></p> <ul> <li> <p><span><span>TITLE SAMPLE NAME: referring to the name of the analyzed polymer.</span></span></p> </li> <li> <p><span><span>DATA TYPE: specifying the characterization technique.</span></span></p> </li> <li> <p><span><span>MEASUREMENT INFORMATION: equipment used for data collection.</span></span></p> </li> <li> <p><span><span>MODEL NAME: name of the equipment used.</span></span></p> </li> <li> <p><span><span>SERIAL No: serial number assigned to the equipment used.</span></span></p> </li> <li> <p><span><span>ACCESSORY: complementary device integrated into the equipment.</span></span></p> </li> <li> <p><span><span>LIGHT SOURCE: standardized light source related to the DLATGS detector.</span></span></p> </li> <li> <p><span><span>RESOLUTION: parameters are used to distinguish the wavenumber in the analyzed materials.</span></span></p> </li> <li> <p><span><span>XUNIT/HORIZONTAL AXIS: referring to the unit’s title assigned on the x-axis.</span></span></p> </li> <li> <p><span><span>YUNITS/VERTICAL AXIS: referring to the unit’s title designated on the y-axis.</span></span></p> </li> <li> <p><span><span>FIRSTX: initial value set for the x-axis.</span></span></p> </li> <li> <p><span><span>FIRSTY: initial value set for the y-axis.</span></span></p> </li> <li> <p><span><span>LASTX: final value set for the x-axis.</span></span></p> </li> <li> <p><span><span>LASTY: final value set for the y-axis.</span></span></p> </li> <li> <p><span><span>NPOINTS: total data points in the file.</span></span></p> </li> </ul> <p><span><span>Data collection was carried out meticulously, following specific steps to ensure the accuracy and reliability of the results. The calibration certificates issued by the supplier (calibration_certificate.pdf) corresponding to the equipment used in the experiments and data collection that give rise to these databases are attached.</span></span></p>
Synergistic olfactory processing for social plasticity in desert locusts (widefield imaging sub-repo-04)
<p>Main Zenodo repository: https://doi.org/10.5281/zenodo.10931394</p> <p>Data deposited here: Physiology\Cal520_Widefield\COL_HEX3_MOL_N2_OC3L2_ZHAE2\solitarious</p>
Synergistic olfactory processing for social plasticity in desert locusts (widefield imaging sub-repo-03)
<p>Main Zenodo repository: https://doi.org/10.5281/zenodo.10931394</p> <p>Data deposited here: Physiology\Cal520_Widefield\COL_HEX3_MOL_N2_OC3L2_ZHAE2\gregarious</p>
Synergistic olfactory processing for social plasticity in desert locusts (widefield imaging sub-repo-02)
<p>Main Zenodo repository: https://doi.org/10.5281/zenodo.10931394</p> <p>Data deposited here: Physiology\Cal520_Widefield\BERRYLEAF_COL_MOL_N2_ZHAE2\solitarious</p>
Synergistic olfactory processing for social plasticity in desert locusts (widefield imaging sub-repo-01)
<p>Main Zenodo repository: https://doi.org/10.5281/zenodo.10931394</p> <p>Data deposited here: Physiology\Cal520_Widefield\BERRYLEAF_COL_MOL_N2_ZHAE2\gregarious</p>
Data from: Functional modularity and mechanical stress shape plastic responses during fish development
<p>The adaptive potential of plastic phenotypes relies on combined developmental responses. Here, we investigated how manipulation of developmental conditions related to foraging mode in <em>Megaleporinus macrocephalus</em> fish induces plastic responses at different levels: 1) functional modularity of skull bones, 2) biomechanical properties of the chondrocranium using Finite Element Models, 3) bmp4 expression levels, used as a proxy for molecular pathways involved in bone responses to mechanical load. We identified new modules in the experimental groups, suggesting increased integration in head bone elements associated with the development of subterminal and upturned mouths, which are major features of <em>Megaleporinus </em>plastic morphotypes released in the lab. Plastic responses in head shape involved differences in the magnitude of mechanical stress, which seem restricted to certain chondrocranium regions. Three bones represent a 'mechanical unit' related to changes in mouth position induced by foraging mode, suggesting that functional modularity might be enhanced by specific regions responding to load. Differences in <em>bmp4</em> expression levels between plastic morphotypes indicate associations between molecular signaling pathways and biomechanical responses to load. Our results offer a multilevel perspective of epigenetic factors involved in plastic responses, expanding our knowledge about mechanisms of developmental plasticity that originate novel complex phenotypes.</p>
Data and code for: Heat tolerance and its plasticity in freshwater and marine fishes are linked to their thermal regimes (v0.1).
<p>Data and code for: Heat tolerance and its plasticity in freshwater and marine fishes are linked to their thermal regimes (v0.1).</p>
The conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action
<p>Supporting DATA files for "Conformational plasticity of structurally unrelated lipid transport proteins correlates with their mode of action".</p> <ol> <li><strong>zenodo_simulation_starting_files_and_result_pdbs.zip</strong> contains input files for atomistic and coarse-grained MD simulations, membrane binding interface results from coarse-grained simulations, and apo-like and holo-like conformations of lipid transfer domains arising from clustering of atomistic simulations</li> <li><strong>zenodo_data_and_codes.zip </strong>contains the raw data and/or scripts used for the analysis of the figures of the paper as well as a README file explaining the contents. The figure caption in the manuscript indicates the folder name that contains data relevant to that particular figure. <p>The trajectories have not been uploaded here, in case you are interested, please ask the corresponding author (stefano.vanni@unifr.ch).</p> </li> </ol> <p> </p>
Supporting data of the Short communication: A multidisciplinary perspective on the role of plastic pollution in the triple planetary crisis - Paper under Review
<p>In our short communication, we discuss the role of plastics and associated chemicals in the triple planetary crisis of climate change, biodiversity loss, and environmental pollution from a multidisciplinary perspective. We utilize quantitative citation metrics (such as the number of papers, the number of reviews, and the fraction of reviews) to map the maturity of the research landscape for nano- and microplastics concerning their life cycle, release, fate, exposure, hazard, governance, and regulation. Based on the outcomes, we identify key research needs for a comprehensive hazard assessment of plastics and associated chemicals.</p> <p>This study was performed by an interest group at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. We acknowledge financial support from the Helmholtz POF IV Topic 9 “Healthy Planet- towards a non-toxic environment” and Topic 5 “Landscapes of the future – preserving biological diversity, water resources, and ecosystems”. K.W.-P. and A.J. are part of the P-LEACH consortium that receives funding from the Helmholtz Association, Innovation Pool Funding of the Research Field Earth and Environment (https://www.ufz.de/p-leach) in support of the Research Program “Changing Earth – Sustaining our Future”. D.K. was partly funded by the European Union’s Horizon 2020 Research and Innovation programme, under Grant Agreement number 965367 (PlasticsFatE). K.S. is grateful for funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation - project number 530364326).</p> <p></p>
Data set for paper: "Numerical analysis of plastic deformation evolution in polycrystalline copper during cyclic loading with different frequencies"
<p>The dataset contains information necessary for performing the numerical analysis presented in the related paper. The input data are suited for the finite element code Z-set (http://www.zset-software.com/). The resulting data from the numerical calculations and source data for paper figures can be used for further analysis. These data are provided in ASCII format in text files and can be processed by any relevant software.</p>
Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 05 (SARS-CoV-2 Delta B.1.617.2)
<p>Dataset 05 comprises 153 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Delta B.1.617.2) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 05 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>
Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 03 (SARS-CoV-2 Alpha B.1.1.7)
<p>Dataset 03 comprises 147 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Alpha B.1.1.7) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 03 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>
Electron microscopy images and morphometric data of SARS-CoV-2 variants in ultrathin plastic sections - Dataset 01 (SARS-CoV-2 Munich929)
<p>Dataset 01 comprises 150 transmission electron microscopy images of extracellular SARS-CoV-2 (isolate Munich929) particles in ultrathin plastic sections (45 nm) through Vero cell cultures. The images were recorded with dimensions of 4112 x 3008 pixels at a pixel size of 0.1641 nm and stored in 16-bit TIF format. It is recommended that an image viewer capable of reading 16-bit images, such as IrfanView, be used to visualize the images. The image files have been size calibrated and can be opened with the correct size calibration using ImageJ or Fiji with the Bioformats importer. A PDF document is provided with the image files, which describes the methods used for the generation of the images. Additionally, an XLSX file is included, offering morphometric particle measurements and the calculated statistical values for their distribution. The dataset was produced as dataset 01 for a comparative morphometric analysis of evolving SARS-CoV-2 variants. Further datasets used for the analysis are available in this repository (see dataset description document).</p>
Determining the plasticity of CD34 expression
<p>Determining if OCI-AML-20 cells can regain CD34 expression.</p>
Plasticity study map
<p>Figure 1.</p> <p>Launes J, Hokkanen L, Laasonen M, Tuulio-Henriksson A, Virta M, Lipsanen J, Tienari PJ, Michelsson K. (2014) Attrition in a 30-year follow-up of a perinatal birth risk cohort: factors change with age. PeerJ 2:e480 <a href="https://doi.org/10.7717/peerj.480">https://doi.org/10.7717/peerj.480</a></p> <p> </p> <p> </p>
Prof. Mauro Majone - An urban biorefinery to convert organic waste into bio-base plastics
<p>Prof. Mauro Majone Full professor in Department of Chemistry, Sapienza University of Rome "An urban biorefinery to convert organic waste into bio-base plastics" Workshop Sapienza – Sony CSL 2018, Sapienza University of Rome, Rome April the 6th 2018</p>
Variation in sex allocation plasticity in three closely related flatworm species
<p>This dataset accompanies the ' Variation in sex allocation plasticity in three closely related flatworm species ' publication.</p>
Phenotypic Plasticity Structure of Metasequoia glyptostroboides (Taxodiaceae) Fine Adventitious Roots Adapt to Aquatic and Terrestrial Environments
<p>Supplement 1. Phellogen close to the remnant exodermis and under lysigenous primary phloem. Match to Fig. 2C, D, secondary xylem, vascular cambium (below arrowhead), phellogen (arrows), lysigenous primary phloem (black arrow), phloem aerenchyma, dilated parenchyma (*), phloem fibers, remnant exodermis (ex), staining: TBO; scale bars = 50 μm;</p> <p> </p> <p>Supplement 2. Phellogen under lysigenous primary phloem. Match to Fig. 2C, D, secondary xylem, vascular cambium (below arrow), phellogen (arrows), lysigenous primary phloem (black arrow), cortical aerenchyma, dilated parenchyma (*), phloem fibers, remnant exodermis (ex), staining: TBO; scale bars = 50 μm;</p>
Plasticity in Collective Decision-Making for Robots: Creating Global Reference Frames, Detecting Dynamic Environments, and Preventing Lock-ins
<p>Swarm robots operate as autonomous agents and a swarm as a whole gets autonomous by its capability of collective decision-making.<br> Despite intensive research on models of<br> collective decision-making, the implementation in multi-robot systems is still challenging.<br> Here, we advance the state of the art by introducing more plasticity to the decision-making process and by increasing the task difficulty.<br> Most studies on large-scale multi-robot decision-making are limited to one instance of an iterated exploration-dissemination phase followed by successful and permanent convergence.<br> We investigate a dynamic environment that requires constant collective monitoring of option qualities.<br> Once a significant change in qualities is detected by the swarm, it has to collectively reconsider its previous decision accordingly.<br> This is only possible by preventing lock-ins, a global consensus state of no return.<br> In addition, we introduce a task of increased difficulty as the robots must locate themselves to assess the quality of an option.<br> Using local communication, swarm robots propagate hop-count information throughout the swarm to form a global reference frame.<br> We successfully validate our implementation in many swarm robot experiments concerning robustness to disruptions of the reference frame, scalability, and adaptivity to a dynamic environment.</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.