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FIGURE 10 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 10. Energy dispersive spectrometer (EDS) linescan dataset. (A) EDS linescan site of interest BSE image in a cross-sectional view of a sea pen Virgularia sp. axial skeleton acquired by INCA Energy software using same region as Figure 9, horizontal linescan through the middle of the axis was applied for EDS analysis to examine the distribution of elements along the line. (B) Element linescan result displaying grouped linescans as colored: carbon (purple), oxygen (bright green), fluorine (pink), sodium (blue), magnesium (green), sulfur (teal), chlorine (red), calcium (light green), ytterbium (gold). (C) Sum spectrum of the linescan. Scale bar = 1 mm. (D) Bar chart of the quantitative results from the sum spectrum.
FIGURE 9 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 9. Scanning electron microscope (SEM) micrographs of a cross-sectional view of a sea pen Virgularia sp. axial skeleton. (A) In this secondary electron (SE) image a great degree of the radiating patterns well-arranged across the whole axial surface can be observed, such character is also used in the morphological phylogenetic studies of the calcaxonian gorgonians and sea pens. Scale bar = 200 μm. (B) Back-scattered electron (BSE) image. There seemed to be some chemical composition contrast appearing darker in the central portion of the axis, though several between-site area scans were performed, yet no differences in chemical composition can be found (data not shown); however, the between-site changes on weight percentage value of some elements can be detected as shown in the next Figure 10B. Scale bar = 200 μm.
FIGURE 5 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 5. Scanning electron microscope (SEM) micrographs of a cross-sectional view of a gorgonian Ellisella sp. axial skeleton. (A) Secondary electron (SE) image. The axis of Ellisella sp. is featured by the concentric growth rings resembling that in trees, also by the slightly radiating patterns on the surface. These characters are useful for comparative morphology studies on calcaxonian gorgonians and sea pens. Scale bar = 200 μm. (B) Back-scattered electron (BSE) image. The compositional change is minute since again no detectable contrast is observed in the image though the topographical contrast is apparent like that in the SE image. Scale bar = 200 μm.
FIGURE 2 in X-ray Microanalysis and the Chemical Elemental Composition of Gorgonian and Pennatulacean Axial Structures (Anthozoa, Octocorallia)
FIGURE 2. Energy dispersive spectrometer (EDS) area scan dataset. (A) EDS site of interest BSE image in a cross-sectional view of a gorgonian Isis hippuris axial skeleton acquired by INCA Energy software using the same region as Figure 1, where spectrum 1 was collected across the full span of the maximum horizontal length of the axial surface and spectrum 2 was collected across the full span of the maximum vertical length of the axial surface. Scale bar = 100 μm. (B) Bar chart of the quantitative results from (C) spectrum 1 for reference in that the analytical results of the two sites are fairly similar as presented in Table 1.
Figure 3. 46 points are selected on face elements to describe the emotions.-Impact of Ethnic Group on Human Emotion Recognition Using Backpropagation Neural Network
<p>The number of points and the position of points are not standardized, but it is depending on<br> the features that will be extracted, and used for the classifier. Many researches use various number<br> of points and positions based on their view about the feature to be considered [13] [18] [19]. Figure<br> 3 shows the points we used.</p>
Figure 4. Main elements of a face, according to the feature-based processing theories-Gestalt Processing in Human-Robot Interaction: A Novel Account for Autism Research
<p>In 1980 Peter Thompson proposed a new experimental paradigm for investigation of<br> perception, called “face thatcherization” (also named “Thomson illusion”) (Thompson, 1980).<br> Imagine that the following face, depicted in figure 4, is a photo of the then UK Prime Minister<br> Margaret Thatcher.</p>
BRAIN Journal-The Presence and Activity on Facebook of the Informative Travel Organizations in Romania-Figure 3. Integration of Social Media elements on tourism organization's websites
<p>Currently, in Romania there are about 8 million Facebook users (Facebrands.ro). In the recent years there has been a spectacular increase of this phenomenon, which shows how important is the use of social networks for an economic and even for a non-profit entity in order to make the brand known or to promote an activity (DailyBusiness.ro). </p>
BRAIN Journal-Pros and Cons Gamification and Gaming in Classroom-Figure 1. Game-design elements and motives (Blohm, I. & Leimeister, J. M., 2013).
<p>Presenting gamification mechanics during classes by implementing them into grade system can be easily obtained by using eLearning environments hybridized with immersive interactive scenarios, like in Lifesaver- a learn by doing model to teach the basic steps in responding to a situation where a person suffers a heart attack or choking (Gamification in eLearning, 2017). The proper use of narrative layers can improve engagement of user and points can be gained using short assignments (missions). The students can choose the assignments as they like to obtain enough points to pass the classes. Obviously, for harder tasks they will get more points, but none of the tasks are obligatory. </p> <p>Other gamification elements include avatars, badges, levels, reputation level, tasks, etc. Details are presented in Figure 1. Making the rewards for accomplishing tasks visible to other players or providing leaderboards are ways of encouraging players to compete. </p>
TEM holography characterization of the first element of the fan-out sorter
<p>This dataset contains the phase reconstraction of the first element of an OAM sorter.</p> <p>The phase mask has be rialized in the fan-out configuration via FIB milling of a thin SiN membrane.</p> <p>The reconstruction is obtained via TEM holography experiments.</p> <p> </p>
Topographic steering in mountain rivers with thousands of large bed elements
<p>Morphological control of river hydraulics, or ‘topographic steering’, influences the spatial patterning and persistence of aquatic habitats and channel-change processes. While imperative to addressing questions or problems in river engineering, fluvial geomorphology, and aquatic ecology the study of topographic steering in natural rivers is still limited, particularly amidst the landform complexity of mountain rivers. This study presents new theory, methods, and findings for investigating landform structure, hydraulics, and mechanisms by which topographic steering asserts control in mountain rivers. Using a novel combination of point-cloud processing and topographic differencing 52,926 individual boulders and bedrock outcrops were mapped within a 13.2-km segment of the mountainous Yuba River (Northern California). Employing a 15% cover threshold these large bed elements (LBEs) were identified as an important source of landform non-uniformity. Coupled with outputs from two-dimensional (2D) hydrodynamic modeling and an original flow pattern analysis framework, LBEs were also revealed as significantly contributing to highly non-uniform flow patterns classified during discharge simulations ranging from baseflow to a ~3.5-year flood. New metrics on flow pattern hydraulics and spatial persistence outline a spectrum of hydraulic-morphodynamic mechanisms describing stage-dependent spatial stratification of erosional and depositional tendencies. Within this continuum three hydraulic-morphodynamic conceptual models (“chutes-and-traps”, “stage-dependent dynamic mobility”, and “variable-scale topographic steering”) are proposed and tested for their relative roles in the Yuba River study site. Findings show the site is characterized by a mechanism where changing flow patterns provide a template for many combinations for sediment mobilization and deposition important to the sediment balance of the supply-limited study site.</p>
Text-fig. 3.—Frontals and parietals of the Jordan theropod (LACM 28471). A. Dorsal view. B. Lateral view. Anterior is to the left. Lined areas represent broken surfaces and elements are partially reconstructed with dashed lines. in A new Theropod Dinosaur from the Upper Cretaceous of Central Montana
Text-fig. 3.—Frontals and parietals of the Jordan theropod (LACM 28471). A. Dorsal view. B. Lateral view. Anterior is to the left. Lined areas represent broken surfaces and elements are partially reconstructed with dashed lines.
Data for the publication "Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects"
<p>Rare Earth Elements (REE) and yttrium measurements from modern and archaeological oyster shells collected by LA-ICP-MS. This dataset is used in the publication 'Rare Earth Elements in oyster shells: provenance discrimination and potential vital effects'.</p>
Finite element mesh of fusion energy heat exchange component: hybrid CAD/IBSim model including a graphite foam interlayer
<p>Image-Based Simulation (IBSim) mesh:<br> A finite element mesh of a conceptual design for a fusion energy heat exchange component (monoblock). The mesh is a hybrid from a computer aided design (CAD) drawing for the pipe and armour and IBSim for the interlayer. The IBSim interlayer is generated directly from a 3D volumetric image of a graphite foam block (KFoam). The 3D image was generated with an X-ray tomography scan performed by Dr Llion Evans with Manchester X-ray Imaging Facility equipment, which was funded in part by the EPSRC (grants EP/F007906/1, EP/F001452/1 and EP/I02249X/1). Conversion of the data to FE mesh was achieved using ScanIP, part of the Simpleware suite of programmes, version 7 (Synopsys Inc., Mountain View, CA, USA).</p> <p>The FE mesh data uses the EnSight Gold file format and may be visualised using Paraview (<a href="https://www.paraview.org">https://www.<strong>paraview</strong>.org</a>).</p> <p>The CT data used for the mesh is available as a separate dataset:</p> <p>This data was used originally for the following publications (please cite if re-using the data):<br> Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Image based in silico characterisation of the effective thermal properties of a graphite foam”, Carbon, Vol. 143, pp. 542-558, 2018. <a href="https://doi.org/10.1016/j.carbon.2018.10.031">https://doi.org/10.1016/j.carbon.2018.10.031</a></p> <p>Ll.M. Evans, L. Margetts, P.D. Lee, C.A.M. Butler, E. Surrey, “Improving modelling of complex geometries in novel materials using 3D imaging”, Proceedings of NEA International Workshop on Structural Materials for Innovative Nuclear Systems, Manchester, UK, July 2016. <a href="https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf">https://www.oecd-nea.org/science/smins4/documents/P1-18_LlME_SMINS4_paper_reviewed.pdf</a></p>
Determining the Complex Jones Matrix Elements of a Chiral 3D Optical Metamaterial
<p><strong>Research Data supporting “</strong><strong>Determining the Complex Jones Matrix Elements of a Chiral 3D Optical Metamaterial</strong><strong>”</strong></p> <p>original research article published in: <strong><em>APL Photonics</em></strong><strong> 2019</strong>, <strong>4</strong> (12), <a href="http://dx.doi.org/10.1063/1.5127169">http://dx.doi.org/10.1063/1.5127169</a></p> <p>The data of the dataset is arranged into different folders (.zip file), containing the following files (.txt, .tif files; <em>italics</em>). This data and the descriptions below should be read in conjunction with the manuscript and “Supporting Info”, both of which may be found at the following DOI: <a href="http://dx.doi.org/10.1063/1.5127169">http://dx.doi.org/10.1063/1.5127169</a></p>
Text-fig. 10. Typical elements of the flora of Sjurkum. 1 – Myrica vyvenkensis AKHMETIEV, leaf, × 0.7; 2 – Rhododendron lancifolium AKHMETIEV, leaf, × 0.7; 3, 4 – cf. Vaccinium sp., leaves, × 0.8 and 1; 5 – Salix sp. (ex gr. S. glauca L.), leaf, × 0.7; 6 – Carpinus sp., involucre, × 1 (coll. Geol. Inst. RAS Moscow). in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 10. Typical elements of the flora of Sjurkum. 1 – Myrica vyvenkensis AKHMETIEV, leaf, × 0.7; 2 – Rhododendron lancifolium AKHMETIEV, leaf, × 0.7; 3, 4 – cf. Vaccinium sp., leaves, × 0.8 and 1; 5 – Salix sp. (ex gr. S. glauca L.), leaf, × 0.7; 6 – Carpinus sp., involucre, × 1 (coll. Geol. Inst. RAS Moscow).
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5. in Mid-Latitude Palaeogene Floras Of Eurasia Bound To Volcanic Settings And Palaeoclimatic Events - Experience Obtained From The Far East Of Russia (Sikhote-Alin') And Central Europe (Bohemian Massif)
Text-fig. 13. Typical elements of the flora of Velikaya Kema (coll. Geol. Inst. RAS Moscow). 1 – Abies sp. 1, twig, × 0.7; 2 – Larix sp., seed cone, × 0.7; 3 – Calocedrus sp., twig, × 0.7; 4 – Picea sp., seed, × 0.8; 5 – Abies sp. 2, seed, × 0.7; 6 – Metasequoia occidentalis (NEWBERRY) CHANEY, leafy shoot, × 0.7; 7 – Ostrya sp., involucre, × 0.7; 8 – Carpinus sp. (ex gr. C. cordata BLUME), involucre, × 0.7; 9 – Carpinus sp. 2 (ex gr. C. tschonoskii MAXIMOVITCH), involucre, × 0.7; 10 – Ulmus sp., leaf, × 0.7; 11 – Acer miocaudatum HU et CHANEY, leaf, × 0.8; 12 – Engelhardia (Alfaropsis) koreanica OISHI, ×; 13 – Comptonia naumannii NATHORST, leaf, × 0.7; 14 – Craigia oregonensis (ARNOLD) KVAČEK, BŮžEK et MANCHESTER, capsule valve, × 0.6; 15 – Cercidiphyllum crenatum (UNGER) R. BROWN, leaf, × 0.7; 16 – Sassafras subtriloba (KONNO) TANAI, leaf, × 0.7; 17 – Dicotylophyllum sp., leaf, × 0.7; 18 – Quercus kodairae HUZIOKA, leaf, × 1; 19 – Carpinus subcordata NATHORST, leaf, × 0.7; 20 – Ailanthus sp., fruit, × 1; 21 – Diospyros miokeaki HU et CHANEY, leaf, × 0.5.
Text-fig. 4. A – Alasia sp., pollen ornamentation, compared with B – extant Quercus castaneifolia C.A. Mey (courtesy of Natalia Naryshkina, Institute of Biology and Soil Science, Vladivostok), with similar verrucate – scabrate elements. Scale bar 1 µm. in In Situ Pollen Of Alasia, A Supposed Staminate Inflorescence Of Trochodendroides Plant
Text-fig. 4. A – Alasia sp., pollen ornamentation, compared with B – extant Quercus castaneifolia C.A. Mey (courtesy of Natalia Naryshkina, Institute of Biology and Soil Science, Vladivostok), with similar verrucate – scabrate elements. Scale bar 1 µm.
Figure 2 in Factors affecting trace element accumulation in livers of avian species from East Poland
Figure 2. RDA results showing the effect of different ecological parameters (the dotted lines) on the concentration of heavy metals in the livers of studied bird species. Monte Carlo permutation test of significance of all canonical axes: P = 0.002. Eigenvalues: axis 1 – 0.197; axis 2 – 0.138. Abbreviations and scales used for analysis: Species: CC - Corvus corax, CF - Corvus frugilegus, CO - Corvus cornix, CM - Corvus monedula, PP - Pica pica, SR - Streptopelia decaocto, AC - Anas platyrhynchos, GA - Garrulus glandarius, SR - Scolopax rusticola, AC - Ardea cinerea, PH - Phalacrocorax carbo, LA - Larus argentatus, LC - Larus canus, CR - Chroicocephalus ridibundus. Food preferences: food F – fish, food I – invertebrates, food O – omnivorous, food P – plants. Foraging area: importance of wetlands for foraging (I wetlands), importance of dumps for foraging (I dumps), importance of urban habitats for foraging (I urban): 0 – none, 1 – small, 2 – medium, 3 – big. Nesting site habitat: nest F – forest, nest U – urban habitat, nest A – aquatic habitat, nest R – rural habitats. Vertebrate carrion importance in food (I carrion): 1 – small, 2 – medium, 3 – big; invertebrate importance in food (I inv): 0 – none, 1 – small, 2 – big. Weight – weight of individuals according to Busse (1990).
Figure 2 in The first record of Greek endemic weevil Hypera (Boreohypera) moczarskii (Coleoptera: Curculionoidea, Curculionidae) in Central Serbia, with elements for species redescription
Figure 2. Male's body shape, head, and aedeagus (dorsal and lateral view): a) H. (B.) diversipunctata, b) H. (B.) moczarskii.
Figure 8 in Impact of aquatic habitat environment on the elemental composition and shell shape variability of the Beringian freshwater mussel Beringiana beringiana (Bivalvia, Unionidae)
Figure 8. Relationships between values of distribution coefficients (Kd Shell/Water Zn (A), Kd Shell/Water Sr (B) and Kd Shell/Water Al (C)) and principal component 1, revealed from the shell shape analysis of Beringiana beringiana. For the numbers of localities see caption for Figure 7.
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.