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6,175 results for “Composite”
Fig. 11 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 11. Cataglyphis isis (Forel, 1913), syntype, worker (CASENT0912205,AntWeb.org (Will Ericson)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 10. Cataglyphis arenaria Finzi, 1940 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 10. Cataglyphis arenaria Finzi, 1940, worker (CASENT0263825, AntWeb.org (Will Ericson)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 9 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 9. Cataglyphis adenensis (Forel 1904), syntype, worker (CASENT0249890, AntWeb.org (Shannon Hartman)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 8 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 8. Camponotus sericeus (Fabricius, 1798), major worker (CASENT0922266, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 6. Camponotus diplopunctatus Emery, 1915 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 6. Camponotus diplopunctatus Emery, 1915, major worker (CASENT0922847, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 4. Camponotus aegyptiacus Emery, 1915 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 4. Camponotus aegyptiacus Emery, 1915, ♂ (CASENT0922850, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Wing. D. Genitalia.
Fig. 3. Camponotus aegyptiacus Emery, 1915 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 3. Camponotus aegyptiacus Emery, 1915, major worker (CASENT0922849, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 7. Camponotus flavomarginatus Mayr, 1862 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 7. Camponotus flavomarginatus Mayr, 1862, major worker (CASENT0922854, AntWeb.org (Michele Esposito). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 5. Camponotus arabicus Collingwood, 1985 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 5. Camponotus arabicus Collingwood, 1985, paratype, major worker (CASENT0911902, AntWeb.org (Will Ericson)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Fig. 2 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography
Fig. 2. Tapinoma melanocephalum (Fabricius, 1793), worker (CASENT0922866, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.
Interdisciplinary Composition of E-Learning Platforms based on Reusable Low-Code Adapters
<p>E-learning platforms are becoming increasingly popular and, accordingly, are also being used more and more by teachers at schools and professors at universities. They are used to distribute educational material digitally to students, but also to offer the possibility to upload and collect assignments, solve tasks, and view grades. This thesis addresses the problems of the inflexibility of established platforms, assists lecturers in designing their courses, and motivates and supports students in their learning. Under the aspect of generalization, a concept for a software product line for the demands of various fields of study is designed, which provides lecturers with a basic platform and allows them to use low-code adapters to design and modify their courses according to their needs.</p>
Data for "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study"
<p>Datasets underlying the analysis of the paper: "Associations between 3D surface scanner derived anthropometric measurements and body composition in a cross-sectional study"</p> <p>This upload includes the following:</p> <ul> <li><strong>data_study.csv </strong>: contains socio-demographic, health- and lifestyle factors, and body scan variables of each participant</li> <li><strong>healthscore.csv</strong> : contains the "healthy score" from the food frequency questions calculated from from five food categories: fruits, vegetables, wholegrain products, meat, and sweet/salty snacks. For each category the officially recommended minimum or maximum amount of weekly intake was used as the cut-off value and a point was assigned if the recommendation was met. A score from 0 to 5 was built to reflect the overall healthiness of the diet.</li> </ul>
Compositional maps of the lunar polar regions derived from the Kaguya Spectral Profiler and the Lunar Orbiter Laser Altimeter data
<p>Compositional maps of the lunar polar regions derived from the Kaguya Spectral Profiler and the Lunar Orbiter Laser Altimeter data as described in Lemelin et al. (2022). </p> <p>This folder includes different GeoTIFF files described and shown in Lemelin et al. (2022). The files are projected in Polar Stereographic Projection, at a spatial resolution of 1000 m/pixel. A version of each of the following file is given for the north and south polar region (50-90 N/S).</p> <p>- Gridded and interpolated Spectral Profiler reflectance mosaics scaled to the LOLA dataset at 1064 nm<br> - Data counts used in the gridded and interpolated Spectral Profiler reflectance mosaics scaled to the LOLA dataset at 1064 nm<br> - Spectral Profiler FeO mosaics <br> - Spectral Profiler OMAT mosaics <br> - Spectral Profiler plagioclase mosaics <br> - Spectral Profiler olivine mosaics <br> - Spectral Profiler low-calcium pyroxene mosaics<br> - Spectral Profiler high-calcium pyroxene mosaics <br> - Nanophase iron mosaics <br> - Correlation coefficient mosaics</p>
Diet composition based on stable isotopic analysis of fecal samples revealed the preference of Black-faced Spoonbill (Platalea minor) for natural wetlands and fishponds
<p><span>Background:</span><span> Black-faced spoonbill (BFS) is a global endangered species, distributed only in the coastal zones of East Asia. Xinghua Bay is one of the main wintering sites and migration stopovers of BFS in mainland China. However, </span><span>with the </span><span>reduction and degradation of natural wetlands, it is uncertain whether the constructed wetland can provide habitat for the endangered BFS. Research on diet of BFS will help to understand their preference between natural and artificial wetlands, and also provide reference for their conservation and habitat restoration. </span></p> <p><span>Results:</span><span> In the early winter, the proportion of Palaemonidae in BFS's food was as high as 74.4%, while that of other food was only 3.0% to 6.0%. In the late winter, the food contribution of BFS was as follow: Portunidae </span><span>39.3% </span><span>> Palaemonidae </span><span>26.1% </span><span>> Cyprinidae </span><span>8.8% </span><span>></span> <span>Mugilidae </span><span>8.5% </span><span>> Gobiidae </span><span>7.3% </span><span>></span> <span>Crucian </span><span>5.1% </span><span>> Whiteshrimp </span><span>4.8%</span><span>. The proportion of Portunidae exceeded that of Palaemonidae, and together with Palaemonidae, it has become the main food of BFS in late winter. </span></p> <p><span>Conclusion: </span><span>The diet composition of BFS between the early and late winter was significantly different, which may be due to seasonal changes in food resources. Natural wetlands are the main feeding grounds of BFS, but artificial wetlands also provide them with supplementary feeding grounds and resting places. Aquaculture ponds play an important ecological function in maintaining the overwintering population of BFS in Xinghua Bay.</span></p>
Can diet composition estimates using stable isotope analysis of feathers predict growth and condition in nestling mountain bluebirds (Sialia currucoides)
<p>Insectivorous birds breeding in seasonal environments provision their dependent young during periods when prey diversity and abundance vary. Consequently, the composition and nutritional value of diets parents feed to their offspring may differ within and among broods, potentially affecting the condition of nestlings. In a population of mountain bluebirds (<i>Sialia currucoides</i>), we used two methods to estimate diet composition for individual nestlings: direct observation of provisioning using video recordings at 5 and 9 days post-hatch, and stable isotopes of the δ<sup>13</sup>C and δ<sup>15</sup>N in nestling feathers and prey followed by analysis with mixing models. We determined the macronutrient content (% fat and lean mass) and estimated the metabolized energy from each type of prey. We evaluated whether different methods of estimating diet composition would produce similar results, and if the types of prey nestlings ate at one or both ages affected their morphology, growth rates, or blood ketone concentration. We found that bluebirds fed their young 5 main types of prey: beetles, cicadas, grasshoppers, insect larvae, and spiders. Both observational and mixing model estimates of diet composition indicated that larvae are traded-off with grasshoppers, and that fewer larvae are provided to nestlings as the season progresses. In evaluating how diet influences individual growth and condition, estimates from direct observations had greater explanatory power than those from mixing models, indicating that diets rich in the most energy-dense prey (greatest fat content; cicadas and larvae) were associated with larger size and higher body condition, and faster rate of mass gain and growth of tarsus. Lower value prey had more limited, specific effects on nestlings, but may still be important dietary components. While isotopic methods produced estimates of diet composition that were generally informative, when applied to explain the growth and condition of nestlings they proved less useful. </p>
Data from: Impact of human foraging on tree diversity, composition and abundance in a tropical rainforest
<p>These are summarised plot data from fifteen 40 m by 40 m sample plots established in Oban Division of Cross River National Park, Nigeria, between 23rd August 2019 and 9th September 2019. We have also included data summaries and RStudio codes used for analysis and generating results for the manuscript entitled: "Impact of human foraging on tree diversity, composition and abundance in a tropical rainforest", submitted for publication as an original research article in Biotropica. All data and R code required to generate the results as shown in the manuscript have been included. Complete tree species and plot data can be accessed at https://forestplots.net/.</p>
WRF 3.5km North Atlantic August - October 2020 (TC tracks and atmospheric composites data)
<p>This zip file contains simulated TC tracks and some atmospheric composites for August to October 2020.</p> <p>- TC tracks information: timing, intensity, and location</p> <p>- Composites: vertical wind shear (200 - 850 hPa), potential intensity, 850 hPa absolute vorticity, and 700 hPa specific humidity.</p>
spectre: An R package to estimate spatially-explicit community composition using sparse data
<p>An understanding of how biodiversity is distributed across space is key to much of ecology and conservation. Many predictive modelling approaches have been developed to estimate the distribution of biodiversity over various spatial scales. Community modelling techniques may offer many benefits over single-species modelling. However, techniques capable of estimating precise species makeups of communities are highly data intensive and thus often limited in their applicability. Here we present an R package, spectre, which can predict regional community composition at a fine spatial resolution using only sparsely sampled biological data. The package can predict the presence and absence of all species in an area, both known and unknown, at the sample site scale. Underlying the spectre package is a min-conflicts optimisation algorithm that predicts species' presences and absences throughout an area using estimates of α-, β-, and γ-diversity. We demonstrate the utility of the spectre package using a spatially-explicit simulated ecosystem to assess the accuracy of the package's results. spectre offers a simple-to-use tool with which to accurately predict community compositions across varying scales, facilitating further research and knowledge acquisition into this fundamental aspect of ecology.</p>
Fig. 1 in Yearly and seasonal changes in species composition of hornets (Hymenoptera: Vespidae) caught with bait traps on the Sea of Japan coast
Fig. 1. Yearly changes in the species composition of hornets in Sakata Park (A) and campus of Niigata University (B).
X-ray scattering Datasets of gold and silver nanoparticle composites, relating to the publication "Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup"
<p>Wide-range X-ray scattering datasets and analyses for all samples described in the 2020 publication "Gold and silver dichroic nanocomposite in the quest for 3D printing the Lycurgus cup". These datasets are composed by combining multiple small-angle x-ray scattering and wide-angle x-ray scattering curves into a single dataset. They have been analyzed using McSAS to extract polydispersities and volume fractions. They have been collected using the MOUSE project (instrument and methodology). </p> <p> </p>
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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.