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4,753 results for “SHAPE”
Immobilized Different Shape Gold Nanostructures on Printing Paper for Lable-Free Surface-enhanced Raman Spectroscopy
<p>Surface Enhanced Raman Spectroscopy (SERS) is spectroscopic technique of a label-free with high selectivity, and sensitivity.</p> <p><strong>Methods and Materials:</strong> Paper-based SERS active substrates with different grade gram per square meter (GSM) were prepared by adsorbing 40 nm spherical GNP and 40nm star-shaped gold nanostructures GNS. Besides the SERS evaluation and optimization, morphological parameters were found to strongly affect the substrates. The developed substrate was tested by the Raman reporter dye Methylene Blue (MB).</p> <p><strong>Results:</strong> These paper-based SERS active substrates are simple to prepare, easy to handle and cheap solid SERS substrates.</p> <p><strong>Conclusion: </strong>GNS with 135 GSM printing paper can easily use as highly active SERS active substrates, with enhancement factor EF= 10<sup>5</sup>.</p>
The shape of convective core overshooting from gravity-mode period spacings
<p>MESA inlists associated with <a href="https://ui.adsabs.harvard.edu/#abs/2018arXiv180202051P/abstract">The shape of convective core overshooting from gravity-mode period spacings</a></p>
Dataset for "Divergent selection and primary gene flow shape incipient speciation of a riparian tree on Hawaii Island"
<p>HawaiiPopulation_Raw.bcf.gz</p> <p>- Unfiltered SNP + INDEL VCF file for Hawaii Island Metrosideros</p> <p> </p> <p>HawaiiPopulation_FILTERED_SNP.bcf.gz</p> <p>- Filtered SNP VCF for Hawaii Island Metrosideros</p> <p> </p> <p>Population_WithOutgroup_Raw.vcf.gz</p> <p>- Unfiltered SNP + INDEL VCF file used in analysis that grouped G<sub>H1</sub>, G<sub>H2</sub>, N subpopulation with the outgroup samples.</p> <p> </p> <p>Population_WithOutgroup_FILTERED_SNP.vcf.gz</p> <p>- Filtered SNP VCF file used in analysis that grouped G<sub>H1</sub>, G<sub>H2</sub>, N subpopulation with the outgroup samples.</p> <p> </p> <p>Population_WithOutgroup.geno.gz</p> <p>- Genotype file generated from the genomic_general from S. Martin and used as input for Dxy and Fst window analysis</p> <p> </p> <p>Popgene_stat*</p> <p>- 5, 10, and 50 kbp windows of calculating pi, Dxy, Fst, Omega, Hscan, and H12 statistics </p> <p> </p> <p>GPHOCS_INPUT.txt</p> <p>- Input data file for GPhoCS analysis</p> <p> </p> <p>GPHOCS_control_*</p> <p>- GPhoCS control file</p> <p> </p> <p>DADI_INPUT*</p> <p>- Input 2D-SFS file for dadi analysis</p>
Low redundancy and complementarity shape ecosystem functioning in a low-diversity ecosystem
<p>Data used in the publication of "Low redundancy and complementarity shape ecosystem functioning in a low-diversity ecosystem" in the Journal of Animal Ecology.</p>
Figure 1 in Molecular and otolith shape analyses of Scorpaena spp. in the Turkish seas
Figure 1. The geographical location of the sampling sites along the coastline of Turkey.
Figure 8 in Mathematical interpretation of avian egg shapes
Figure 8. Compound asymmetric obtuse-drop-shaped pseudo-ovoid = obtuse+ drop-shaped true ovoid.
Figure 3 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 3. Harmonic order for the left first upper molar of M. avellanarius.
Figure 1 in Ecomorphological patterns and shape indices of otoliths in the Pagellus acarne (Actinopterygii, Sparidae) from the Aegean and Marmara Seas
Figure 1. Sampling sites of Pagellus acarne in the Aegean and Marmara Seas.
Figure 4 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 4. Positions of nine landmarks for the left first upper molar (Definitions are in the text).
Figure 6 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 6. Canonical variate analysis of M. avellanarius on the M1 for landmark analysis.
Figure 2 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 2. Occlusal surface of the left first upper molar and start position of digitisations.
Figure 5 in The importance of shape analysis of the first upper molar in the separation of two subspecies of the Hazel dormouse (Muscardinus avellanarius (Linnaeus, 1758)) in Northern Anatolia
Figure 5. Canonical variate analysis of M. avellanarius on the M1 for outline analysis.
Figure 4 in Discrete aggregate analysis of ovoid egg shapes in various bird species
Figure 4. Ovoid profiles constructed in the boundaries of lateral arcs 0.75–1.75D.
Figure 9 in Discrete aggregate analysis of ovoid egg shapes in various bird species
Figure 9. Cross-ratio of double segments.
Small brains: Body shape constrains tissue allocation to the central nervous system in ant-mimicking spiders
<p>In Batesian mimicry, mimetic traits are not always as convincing as predicted by theory – in fact, inaccurate mimicry with only a superficial model resemblance is common and taxonomically widespread. The ‘selection trade-offs hypothesis’ proposes a life-history trade-off between accurate mimetic traits and one or more vital biological functions. Here, using an accurate myrmecomorphic (ant-mimicking) jumping spider species, <em>Myrmarachne smaragdina</em>, we investigate how myrmecomorphic modifications to the body shape impact the internal anatomy in a way that could be functionally limiting. Specifically, via X-ray micro-computed tomography (microCT), we quantify how the spider’s constricted prosoma, which emulates the head and thorax of ants, impacts the size of the central nervous system (CNS) and the venom glands. We found that, relative to their whole-body mass, the CNS of the ant-mimicking jumping spider was smaller when compared with a relatively closely related non-mimic jumping spider, indicating that some trade-off between mimic accuracy and size of neural anatomy, as articulated by the ‘selection trade-offs hypothesis’, is a possibility. Our explorative evidence enables and encourages broader investigation of how variable mimic accuracy impacts the neuroanatomy in ant mimics as a direct test of the ‘selection trade-offs hypothesis’. </p>
Building Habitat Resiliency for Chinook Salmon in Alaska's Deshka River Watershed - thermal imagery shape files
<p>Cook Inletkeeper contracted NV5 Geospatial (formerly, Quantum Spatial Incorporated) to collect thermal infrared (TIR) during the summer of 2020 for the main channel of Deshka River in the Matanuska-Susitna Borough in Alaska. This section of Deshka River was contracted to be flown at the beginning of the summer and during the afternoon hours in order to maximize the thermal contrast between the river’s water and the banks. The survey extends for 52 km / 32 miles of the Deshka River starting from the confluence of Moose and Kroto Creeks upstream and ending at the confluence with the Susitna River. The data were collected to aid the Cook Inletkeeper team to identify the spatial variability in surface temperatures as well as thermal influence of point sources, tributaries, and surface springs. The data will also be used to identify high-value habitats for the Deshka River chinook salmon population.</p> <p>Note: These data and related items of information have not been formally disseminated by NOAA and do not represent any agency determination, view, or policy.</p> <p>Funding for this project came, in part, from the Alaska Sustainable Salmon Fund (AKSSF Project #53004).</p>
Data and scripts for "Optical line shapes of color centers in solids from classical autocorrelation functions"
<p>This record contains data and code that accompany the paper "Optical line shapes of color centers in solids from classical autocorrelation functions". Specifically it includea databases in ase sqlite format (*<code>.db</code>) with reference data from density functional theory calculations. These data were used in the construction of the machine-learned potential model using the neuroevolution potential (NEP) methodology. The model (<code>nep.txt</code>) is included in a format suitable for the GPUMD package (https://gpumd.org).</p> <p>Note that the atom type information in the databases already includes the labeling of the defect environment that is expected by the NEP model, according to the following rules</p> <ul> <li>Si(gs) → P</li> <li>C(gs) → N</li> <li>Si(ex) → S</li> <li>C(ex) → O</li> </ul> <p>The "bulk" species (Si, C) remain unchanged.</p>
Space-Fractional Truss Element - shape functions and stiffness matrix
<p>The following research data zipped to a .zip file is included.</p> <p>Data refers to formulas for shape functions (\(N_{i}\)) and stiffness matrix components (\(K_{ij}\)) for a non-local truss element formulated in terms of fractional calculus (space-Fractional Truss Element) and the finite element method.</p> <p>The data are described as follows:</p> <ul> <li>The .zip file contains information in the name about the number of nodes of the truss element (m).</li> <li>Formulas for shape functions written in different formats: <ul> <li>Display_Ni.svg shows the formula in a conveniently viewable form;</li> <li>LaTeX_Ni.txt contains a formula written in LaTeX syntax;</li> <li>Sym_Ni.txt contains a formula written in symbolic form, allowing loading into a calculation program (e.g., by loading a file and using the sympify() function);</li> <li>Plot_Ni.svg contains plotted shape functions.</li> </ul> </li> <li>Formulas for the elements of the stiffness matrix written in different formats:<br> <ul> <li>The formula for the elements of the stiffness matrix is as follows, <br>\(K_{ij}=EA\frac{L}{2}\int_{-1}^{1} B_{i}B_{j} d\xi. \)</li> <li>In the files, the formulas for \(B_{i} \) and the product of \(B_{i}B_{j} \) are written - in different formats, with naming analogous to that described for the shape functions.</li> </ul> </li> </ul>
Figure 1 in Using otolith shape analysis to distinguish barracudas Sphyraena sphyraena and Sphyraena viridensis from the Algerian coast
Figure 1. - Location of studied site in the South-Western Mediterranean Sea.
Supplementary data and code to "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak
<p>Scripts and high-level data to reproduce the figures and supplementary figures of "Cellular location shapes quaternary structure of enzymes" by György Abrusán and Aleksej Zelezniak. <em>Nature Communications</em> (2024) 15:8505.</p>
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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.