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245 results for “spheres”
Mimicking Natural Deterrent Strategies in Plants using Adhesive Spheres
<p>With a continuous increase in world population and food production, chemical pesticide use is growing accordingly, yet unsustainably. As chemical pesticides are harmful to the environment and pests develop resistance, sustainable and effective pesticide alternatives are needed. Inspired by nature, we mimic one defense strategy of plants, glandular trichomes, to shift away from using chemical pesticides by moving towards a physical immobilization strategy via adhesive particles. Through a controlled oxidation of a biobased starting material, triglyceride oils, an adhesive material is created while monitoring the reactive intermediates. After being milled into particles, nanoindentation shows these particles to be adhesive even at low contact forces. A suspension of particles is then sprayed onto chrysanthemum leaves and found to be highly effective at immobilizing a target pest, thrips, \textit{Frankliniella occidentalis}. Typical of small arthropod pests, thrips cause crop damage predominantly through virus transfer, which is prevented by their immobilization. We show that through this scalable fabrication process, biosourced materials can be used to create an effective, sustainable physical pesticide.</p>
Pin-on-disc tests with friction and wear depth data at increasing temperatures: dry sliding between 100Cr6 sphere against 100Cr6 ring.
<p>This dataset has been collected during 6 ball-on-disc tests. The objective of the tests was to assess the influence of temperature on wear and friction between steel-to-steel counterfaces.</p> <p>Materials: 100Cr6 sphere against 100Cr6 ring. Both components have been extracted from a FAG axial bearing. Surface roughness: sphere Ra: 0.04 microns; ring: 0.42 microns.</p> <p>test conditions (test 1/2/3/4/5/6):</p> <p>vertical load: 10N</p> <p>sliding speed: 0.1 m/s</p> <p>sliding distance: 500 m</p> <p>temperature: 23/50/80/110/140/170 °C</p> <p>wear track radius: 27.8/22.6/29/27/24/22 mm</p>
Рис. 2. Диаграммы распределениЯ обилиЯ наЗемного моллюска M. cartusiana: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков). Fig. 2. Diagram of the abundance distribution of the land snail M. cartusiana: A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Х and Y axes presented in meters; abundance proportional to sphere sizes). in Analysis of the spatial distribution patterns of the land snail populations: a geostatistic method approach
Рис. 2. Диаграммы распределениЯ обилиЯ наЗемного моллюска M. cartusiana: A – участок № 1, 2010 г.; B – участок № 2, 2011 г.; C – участок № 4, 2012 г.; D – участок № 5, 2012 г. (единицы иЗмерениЯ осей Х и Y даны в метрах; численность особей пропорциональна раЗмерам Шариков). Fig. 2. Diagram of the abundance distribution of the land snail M. cartusiana: A – site 1, 2010; B – site 2, 2011; C – site 4, 2012; D – site 5, 2012 (Х and Y axes presented in meters; abundance proportional to sphere sizes).
Dataset: Sphere 3D Corp. (ANY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Dataset: Sphere 3D Corp. (ANY) Stock Performance
This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.
Local order and crystallization of dense polydisperse hard spheres
<p>This dataset is associated with "Local order and crystallization of dense polydisperse hard spheres", Daniele Coslovich, Misaki Ozawa, and Ludovic Berthier, J. Phys.: Condens. Matter 30, 144004 (2018) [<a href="http://doi.org/10.1088/1361-648X/aab0c9">doi:10.1088/1361-648X/aab0c9</a><a href="https://arxiv.org/abs/1801.09638"> arXiv:1801.09638</a>]. <br> <br> It include scripts and data files to allow for the replication of the figures. EPS figures were generated using gnuplot version 5.0.</p>
PERCEIVE The use of social media in EU policy communication and implications for the emergence of a European public sphere
<p>This data set contains the underlying data of the paper “<strong>The use of social media in EU policy communication and implications for the emergence of a European public sphere</strong>”, published by The Journal of Regional Research - Investigaciones Regionales (ISSN: 1695-7253; E-ISSN: 2340-2717) in 2019.</p> <p>Data openly available within this dataset are a subset of the two following data sets, which contains all the relevant data of Work Package 3 and Work Package 5 of PERCEIVE project:</p> <ul> <li>Data set:<strong> “PERCEIVE: WP3: Effectiveness of communication strategies of EU projects” </strong><a href="https://doi.org/10.5281/zenodo.3371133">https://doi.org/10.5281/zenodo.3371133</a></li> <li>Data set:<strong> “PERCEIVE: WP5: The multiplicity of shared meanings of EU and Cohesion Regional and Urban Policy at different discursive levels” </strong><a href="https://doi.org/10.5281/zenodo.3371174">https://doi.org/10.5281/zenodo.3371174</a></li> </ul> <p>For the paper we collected Facebook posts referred to EU CP policies. We don’t have the permission to share these data (as they are protected by copyright), but all the sources are described in Deliverable 5.2, which is public (see <a href="http://doi.org/10.6092/unibo/amsacta/5726">http://doi.org/10.6092/unibo/amsacta/5726</a> or <a href="http://doi.org/10.5281/zenodo.1318184">http://doi.org/10.5281/zenodo.1318184</a>). We analyzed the textual content of data to construct a database of discursive topics in Task5.4. Data set includes the results of topic modeling and of a sentiment analysis performed on the Facebook homepages of Local Management Authorities (LMA) of PERCEIVE case study regions. </p>
Sphere meshed with 925 million tetrahedra
<p>A sphere meshed with 925,056,781 tetrahedra with GHS3D, renumbered through a Hilbert SFC and compressed with XZ.</p>
The surface deformation induced by thermal expansion of bedrock, based on the the uniform elastic sphere model
<p>The surface deformation induced by thermal expansion of bedrock(TEB), based on the the uniform elastic sphere model in the manuscript submitted to JGR: Solid Earth, including:</p> <p>1. Input data of TEB model:</p> <p><strong>Spherical harmonics coefficients of land surface temperature:</strong> Cosine terms (detrended); Sine terms (detrended) </p> <p>(The coefficients are based on temperature data provided by Physical Sciences Laboratory (PSL) of the National Oceanic and Atmospheric Administration; <u>https://psl.noaa.gov/data/gridded/data.cpc.globaltemp.html</u>)</p> <p>2. Output data of TEB model: </p> <p><strong>The 3-dimensional TEB displacements </strong> <strong>on the 0.5</strong><strong>°×</strong><strong>0.5</strong><strong>°</strong><strong>global grid:</strong> annual variations of East, North, Up components</p>
Arctic cubed sphere configuration of MITgcm with 2-km resolution
<p>This repository includes a regional Arctic configuration of the Massachusetts Institute of Technology general circulation model (MITgcm,<a href="https://doi.org/10.1029/96JC02775">Marshall et al., 1997</a>; <a href="http://mitgcm.org/public/docs.html">MITgcm Group, 2017</a>) with a horizontal resolution of 2 km, which is described in <a href="https://doi.org/10.5194/tc-14-93-2020">Hutter & Losch (2020)</a>. It is based on a regional Arctic configuration (<a href="https://doi.org/10.1175/JPO-D-11-040.1">Nguyen et al., 2012</a>) of the MITgcm, which represents the Northern face of a global cubed sphere configuration. The number of vertical layers is reduced to 16, with the first 5 layers covering the uppermost 120 m to decrease the computational cost associated with the ocean model component. The Refined Topography dataset 2 (RTopo-2) (<a href="https://doi.org/10.1594/PANGAEA.856844">Schaffer and Timmermann, 2016</a>) is used as bathymetry for the entire model domain. The lateral boundary conditions are taken from the globally optimized ECCO-2 simulations (Menemenlis et al., 2008). The configuration is designed to use the 3-hourly Japanese 55-year Reanalysis (JRA-55, <a href="https://doi.org/10.2151/jmsj.2015-001">Kobayashi et al., 2015</a>) with a spatial resolution of 0.5625° for surface boundary conditions. The ocean temperature and salinity are initialized on 1 January, 1992, from the World Ocean Atlas 2005 (Locarnini et al., 2006; Antonov et al., 2006). The initial conditions for sea ice are taken from the Polar Science Center (<a href="http://doi.org/10.1029/2001JC001041">Zhang et al., 2003</a>). Ocean and sea ice parameterizations and parameters are directly taken from <a href="https://doi.org/10.1029/2010JC006573">Nguyen et al. (2011)</a>, with the ice strength P=2.264×104Nm−2. The configuration uses the classical discrimination of two ice classes: thin and thick ice (<a href="https://doi.org/10.1175/1520-0485(1979)009%3C0815:ADTSIM%3E2.0.CO;2">Hibler, 1979</a>). The momentum equations are solved by an iterative method and line successive relaxation (LSR) of the linearized equations following <a href="https://doi.org/10.1029/96JC03744">Zhang and Hibler (1997)</a>. In each time step (<span class="math-tex">\(\Delta\)</span>t=120 s), 10 nonlinear steps are made and the linear problem is iterated until an accuracy of 10e−5 is reached or 500 iterations are performed. With this configuration, simulations were run from 1 January 1992 to 31 December 2012. We also provide pickup files to restart the simulation in 2012.</p> <p>To reference this configuration please use the citation of this repository and reference to the paper describing the configuration:</p> <p>Hutter, N. and Losch, M.: Feature-based comparison of sea ice deformation in lead-permitting sea ice simulations, The Cryosphere, 14, 93–113, <a href="https://doi.org/10.5194/tc-14-93-2020">https://doi.org/10.5194/tc-14-93-2020</a>, 2020.</p>
Cation-coordinated inner-sphere CO2 electroreduction at Au-water interfaces-related dataset
<p>ab initio molecular dynamics and slow-growth sampling dataset for CO<sub>2</sub>RR at Au-water-cations interfaces</p>
Development of an improved two-sphere integration technique for quantifying black carbon concentrations in the atmosphere and seasonal snow
<p>A zip file for all Datasets used in the manuscript of "Development of an improved two-sphere integration technique for quantifying black carbon concentrations in the atmosphere and seasonal snow" </p>
Supporting Data for "Casein micelles in milk as sticky spheres" (Soft Matter, doi:10.1039/D0SM01327G)
<p>Merged ultra-small-angle X-ray scattering (USAXS) and small-angle X-ray scattering (SAXS) data after processing using USAXS macros and Irena in IGOR Pro, using the procedures described in the paper.</p> <p>Three column data [Q in 1/Å, I(Q) in 1/cm, uncertainty I(Q) in 1/cm]</p>
Data from: Entangling the vibrational modes of two massive ferromagnetic spheres using cavity magnomechanics
<p>Source data for Figures 2 and 3.</p>
Luxor Temple Entrance Night (360 sphere)
https://library.ucsd.edu/dc/object/bb7886108t Collection CAVEcam Virtual Reality Photography Collection Photographers DeFanti, Thomas A. Saad, Adel Wickham, Greg Contributor Ainsworth, Richard A. Date Issued 2016 Creation Date Date captured: 2011-04-29. Date rendered: 2011-05-11. Revision date: 2016-01-13 Cite This Work DeFanti, Thomas A; Saad, Adel; Wickham, Greg; Ainsworth, Richard A (2016): Luxor - Temple - Entrance - Night. In CAVEcam Virtual Reality Photography Collection. UC San Diego Library Digital Collections. http://doi.org/10.6075/J0JS9NCJ Description This CAVEcam was shot in the Luxor Temple near the main entrance, at night. Source: Objaverse 1.0 / Sketchfab
Armillary sphere (1828)
**Full name: Armillary sphere by Josef Jüttner (1828)** An armillary sphere is an astronomical instrument containing a model of the celestial sphere and the Solar System. The sphere rests on three carved metal legs. The whole is set on a wooden stepped pedestal. This astronomical instrument presents the solar system according to the state of knowledge in 1828, i.e. without Neptune, which was discovered in 1846. Created in 1828 by Josef Jüttner (1775–1848), a Czech cartographer, constructor of globes and armillary spheres active in Prague and Vienna. **For more images and further information, visit:** https://muzea.malopolska.pl/en/objects-list/2791 Inventory number: 4306; 306/V Localisation of the physical object: Jagiellonian University Museum Collegium Maius, Kraków, Poland **Digitalisation: Regional Digitalisation Lab, Małopolska Institute of Culture in Kraków, Poland; "Virtual Museums of Małopolska" project** Source: Objaverse 1.0 / Sketchfab
Luxor Medinet Habu Royal Treasure 1 (360 Sphere)
https://library.ucsd.edu/dc/object/bb7749588v?counter=12 Collection CAVEcam Virtual Reality Photography Collection Photographers DeFanti, Thomas A. Saad, Adel Wickham, Greg Contributor Ainsworth, Richard A. Date Issued 2016 Creation Date Date captured: 2011-04-30. Date rendered: 2011-05-13. Revision date: 2016-01-13 Cite This Work DeFanti, Thomas A; Saad, Adel; Wickham, Greg; Ainsworth, Richard A (2016): Luxor - Medinet Habu - Royal Treasure 1. In CAVEcam Virtual Reality Photography Collection. UC San Diego Library Digital Collections. http://doi.org/10.6075/J0PK0D3T Description This CAVEcam was shot in the Temple of Ramsesses III at Medinet Habu. This is inside one of the Royal Treasure Halls. The particularly brilliant colors were captured by time exposures (about 2 sec. at f/16). Source: Objaverse 1.0 / Sketchfab
Armillary sphere (1771)
Full name: **Armillary sphere by Franciszek Słupski (1771)** An armillary sphere is an astronomical instrument, a model of the celestial sphere. It was used to demonstrate celestial phenomena and determine the time and equatorial and ecliptic coordinates. The armillary sphere enabled simulation of astronomical phenomena, including the movement of planets in relation to the Sun. It was made by Franciszek Słupski as part of his doctoral thesis defended at the Philosophy Department of the University of Kraków. **For more images and further information, visit:** https://muzea.malopolska.pl/en/objects-list/2792 Inventory number: 4307; 307/V Localisation of the physical object: Jagiellonian University Museum Collegium Maius, Kraków, Poland **Digitalisation: Regional Digitalisation Lab, Małopolska Institute of Culture in Kraków, Poland; "Virtual Museums of Małopolska" project** Source: Objaverse 1.0 / Sketchfab
Precomputed results for Geodesic Slice Sampling on the Sphere (GeoSSS) paper
<p>Precomputed results used in the publication titled "<a href="https://arxiv.org/abs/2301.08056">Geodesic Slice Sampling on the Sphere</a>". This can be used with our package on Github: <a href="https://github.com/microscopic-image-analysis/geosss">https://github.com/microscopic-image-analysis/geosss</a></p> <p>Follow the below steps:</p> <p>1. Download and unzip all the files. </p> <p>2. Clone the github repository and navigate to the root directory.</p> <pre><code>git clone https://github.com/microscopic-image-analysis/geosss.git cd geosss</code></pre> <p>3. Move the data to a new <em>"results"</em> directory inside the repository. After unzipping folders from "<em>mixture_vMF_d10_K5_kappa50" </em>to <em>"mixture_vMF_d10_K5_kappa500" </em>(10 folders), please move them to a new <em>"results/mix_vMF_d10_K5"</em> directory.</p> <p>4. You can use the "geosss/scripts" directory to use these precomputed results and plot them, see the info on the <a href="https://github.com/microscopic-image-analysis/geosss/tree/main">GitHub repository</a> for installing the package. </p>
Luxor-Temple-Night (360 Sphere)
https://library.ucsd.edu/dc/object/bb1025978g Collection CAVEcam Virtual Reality Photography Collection Photographers DeFanti, Thomas A. Saad, Adel Wickham, Greg Contributor Ainsworth, Richard A. Date Issued 2016 Creation Date Date captured: 2011-04-29. Date rendered: 2015-05-11. Revision date: 2016-01-14 Cite This Work DeFanti, Thomas A; Saad, Adel; Wickham, Greg; Ainsworth, Richard A (2016): Luxor - Temple - Night. In CAVEcam Virtual Reality Photography Collection. UC San Diego Library Digital Collections. http://doi.org/10.6075/J0F18WN4 Description This CAVEcam was shot in the Luxor Temple showing the First Court of Ramesses II and the 14th Century Mosque of Abu al-Haggag, at night. Source: Objaverse 1.0 / Sketchfab
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.