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1,163 results for “demonstration”
Fig. 8 in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 8. Ancestral state estimation and mapping of Gaussian mixture modeling (GMM) cluster membership onto our phylogram for ingroup male eremobatid species inferred from Elliptical Fourier coefficients for chelicerae. Character states 1−4 refer to the 4 distinct clusters in morphospace (Fig. 5B).
Fig. 1. Male chelicera variation from the family Eremobatidae. A in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 1. Male chelicera variation from the family Eremobatidae. A) Hemerotrecha parva (DMNS ZA.42131), B) Hemerotrecha macra (DMNS ZA.35652), C) Eremochelis branchi (DMNS ZA.38315), D) Eremochelis flexacus (DMNS ZA.16134), E) Chanbria regalis (DMNS ZA.25444), F) Eremorhax magnus (DMNS ZA.42055. Photograph credit: Cole Logan), G) Hemerotrecha hanfordana (DMNS ZA.37358), H) Horribates spinigerus (DMNS ZA.40086), I) Eremobates leechi (DMNS ZA.37070. Photograph credit: Quincy Hansen). All scale bars refer to 1 mm, except F, which refers to 2.5 mm.
Fig. 3 in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 3. Summary of the quantitative and qualitative traits considered in this study for eremobatid males and females. A) Right, retrolateral view of male Eremochelis insignatus (DMNS ZA.33749) chelicera. Measurements considered in this study are illustrated. B) Scanning electron microscope (SEM) image of papillated texturing inside flagellar groove of Eremochelis branchi (DMNS ZA.37135). C) SEM image of prolateral view of male fixed finger and associated flagellar groove belonging to Eremochelis branchi (DMNS ZA.37135). D) Right, retrolateral view of female chelicera of Hemerotrecha delicatula (DMNS ZA.41812) depicting the fixed finger tooth pattern and tip (apex) of fixed finger to fixed finger distal tooth (FF-to-FD) measure. Coloration and abbreviations follow Bird et al. (2015).Terminology abbreviations are FD = fixed finger, distal teeth, FSD = fixed finger, subdistal teeth, FM = fixed finger, medial teeth, FSM = fixed finger, submedial teeth, FP = fixed finger, proximal teeth. E) Operculum length, width, and diagonal measures on female Eremochelis plicatus (DMNS ZA.41887).
Fig. 2 in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 2. Female cheliceral morphology from representatives of the family Eremobatidae. A) Hemerotrecha delicatula (DMNS ZA.41812), B) Eremochelis striodorsalis (DMNS ZA.18968), C) Horribates spinigerus (AMNH Holotype), D) Chanbria rectus (DMNS ZA.25456), E) Eremochelis andreasana (DMNS ZA.40822), F) Hemerotrecha serrata (DMNS ZA.25449), G) Hemerotrecha sp. (CIDA107821), H) Hemerotrecha prenticei (DMNS ZA.18169), I) Eremochelis bilobatus (DMNS ZA.17685). All scale bars refer to 1 mm.
Fig. 6 in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 6. Ancestral state reconstruction of EFA coefficients. A) PC1 from the PCA of male chelicera EF coefficients and B) PC1 from the PCA of female opercula EF coefficients.
Fig. 5 in Camel spider trait evolution demonstrates repeated patterns of convergence (Arachnida: Solifugae: Eremobatidae)
Fig. 5. Morphospace plots based on PCA analysis of EF coefficients and GMM cluster assignments recovered from the first 3 PCs as input. Individuals with uncertain cluster membership are displayed in gray.Top row pertains to male chelicera, central row depicts female chelicera, and bottom row refers to female opercula. All PCA plots summarize PC1 and PC2 and illustrate: A) male cheliceral shape by genus, B) male cheliceral shape by cluster membership with mean shapes of each cluster to the right (cluster 1 was not supported after implementing the 0.95 uncertainty threshold), C) female cheliceral shape by genus, D) female cheliceral shape by cluster membership with mean shapes of each cluster to the right, E) female opercula shape by genus, F) female opercula shape by cluster membership with reconstructed operculum from the single opercula median shape. All shapes are not to scale.
Data to demonstrate : Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM
<p>Data to demonstrate :</p> <p>Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM - <a href="https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-3-3290&id=545659">https://opg.optica.org/oe/fulltext.cfm?uri=oe-32-3-3290&id=545659</a></p> <p>Trung Duc Nguyen, Yuan-I Chen, Anh-Thu Nguyen, Limin H. Chen, Siem Yonas, Mitchell Litvinov, Yujie He, Yu-An Kuo, Soonwoo Hong, H. Grady Rylander, and Hsin-Chih Yeh, "Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM," Opt. Express <strong>32</strong>, 3290-3307 (2024)</p>
Demonstration_video_FM_all_operations
<p>The supplementary file is a demonstration video to describe the experimental performance of the test bench with a non-sinusoidal 7-phase PMSM in faulty mode (Part II of the two-part study). Please see the description of the experimental test bench for more information.</p> <p>This demonstration video length is 3':48'' (3 minutes 48 seconds), including plots of:</p> <p>+ "Rotating speed (rpm)",</p> <p>+ "Experimental torque Tem (N.m)",</p> <p>+ "Torque error Terror=Tref-Tem (N.m)",</p> <p>+ "Measured phase currents i_ABCDEFG (A)",</p> <p>+ "d-q current control performance",</p> <p>+ "Fictitious machine torque (N.m)",</p> <p>+ "Estimated NS-EMF (V/rad/s)",</p> <p>+ "Adaline output y",</p> <p>+ "Adaline weights",</p> <p>+ "Voltage references (V)"</p> <p>Details of each time interval in the video are described as follows:</p> <p>+ From 0':00'' to 1':40'', four operating states (MTPA_HM, Phase A is opened without reconfigurations, MTPA_Fault, and Adaline_Fault) are described.</p> <p>+ From 1':41'' to 3':01'', the dynamic performance of the proposed control scheme in response to the rotating speed and reference torque variations is shown to validate the effectiveness of the proposed scheme.</p> <p>+ From 3':02'' to 3':48'', the effect of considered harmonics for Adaline_Fault is described. When less harmonics are used in the Adaline inputs, the number of calculations for Adaline_Fault is reduced. However, the torque ripple increases.</p> <p>This demonstration video is to prove the practical implementation of the proposed control scheme in real-time applications.</p> <p> </p> <p>Thank you for your consideration</p>
Demonstration_video_HM_all_operations
<p>The supplementary file is a demonstration video to present the experimental operation of the test bench with a non-sinusoidal 7-phase PMSM in healthy mode (Part I of the two-part study "Adaline-based Control Schemes for Non-sinusoidal Multiphase<br> Drives"). Please see the description of the experimental test bench for more information about the experimental test bench.</p> <p>This demonstration video length is 2':52'' (2 minutes 52 seconds), including plots of: <br> + "Rotating speed (rpm)",<br> + "Experimental torque Tem (N.m)", <br> + "Torque error Terror=Tref-Tem (N.m)", <br> + "Measured phase currents i_ABCDEFG (A)", <br> + "d-q current control performance", <br> + "Fictitious machine torque (N.m)", <br> + "Estimated NS-EMF (V/rad/s)", <br> + "Adaline output y", <br> + "Adaline weights", <br> + "Voltage references (V)" </p> <p>Details of each time interval in the video are described as follows:<br> + From 0':00'' to 1':16'', three operating states (SMTPA, MTPA, proposed scheme with Adaline_HM) are described. <br> + From 1':17'' to 2':52'', the dynamic performance of the proposed control scheme in response to the rotating speed and reference torque variations is shown to validate the effectiveness of the proposed scheme.</p> <p>This demonstration video is provided with the manuscript to prove the practical implementation of the proposed control scheme in real-time applications.</p> <p>Thank you for your consideration</p>
Scorpion demonstration 19-11-2021 ::: Datasets
<p>Scorpion demonstration 19-11-2021 ::: Datasets</p>
Game-Shapley recommender system demonstration
<p>Recommender system using Game-Shapley algorithm</p>
800G Coherent FSO Demonstration: Datasets and Post-Processing Routines
<p>This repository includes a set of experimental data and post-processing routines for the study of ultra-high capacity free-space optics (FSO) systems enabled coherent optical fiber transceivers operating at bit rates of 800 Gbps and above. </p> <p>The repository is organized into the following subfolders:<br> i) <strong>800G experiment</strong>: includes the system performance data (NGMI, SNR, etc) obtained from a 92 Gbaud coherent optical transmission over an outdoor 42 m FSO link under varying weather conditions during 48 hours;<br> ii) <strong>atmospheric turbulence</strong>: includes the raw measured received optical power and post-processing routines to analyze the impact of atmospheric turbulence during a 1-hour period at a sample rate of 10 kHz; <br> iii) <strong>channel estimation</strong>: includes the implementation of an adaptive channel estimator driven by the least mean squares (LMS) or recursive least squares (RLS) algorithms, enabling a highly accurate prediction of the channel state in an outdoor FSO link;<br> iv) <strong>optical beam alignment</strong>: includes the post-processing routines that exploit the sensitivity of an FSO system towards pointing errors using direct air-to-fiber coupling.</p>
Data and code from: A large-scale experiment demonstrates line marking reduces power line collision mortality for large terrestrial birds, but not bustards, in the Karoo, South Africa
<p>Line markers are widely used to mitigate bird collisions with power lines, but few studies have robustly tested their efficacy. Power line collisions are an escalating problem for several threatened bird species endemic to southern Africa, so it is critical to know whether or not marking works to adequately manage this problem. Over 8 years, a large-scale experiment was set up on 72 of 117 km of monitored transmission power lines in the eastern Karoo, South Africa, to assess whether line markers reduce bird collision mortality, particularly for Blue Cranes <i>Grus paradisea</i> and Ludwig's Bustards <i>Neotis ludwigii</i>. We tested the two marking devices commonly used in South Africa: bird flappers and static bird flight diverters. Using a before-after-control-impact design, we show that line marking reduced collision rates for Blue Cranes by 92% (95% CI 77-97%) and all large birds by 51% (95% CI 23-68%), but had no effect on bustards. Both marker types appeared similarly effective. Given that monitoring at this site also confirmed high levels of mortality of a range of species of conservation concern, we recommend that marking be widely installed on new power lines. However, other options need to be explored urgently to reduce collision mortality of bustards. Five bustard species were in the top ten list of most frequently found carcasses, and high collision rates of Ludwig's Bustards (0.68 birds·km<sup>-1</sup>·year<sup>-1</sup> uncorrected for survey biases) add to wider concerns about population level effects for this range-restricted and Endangered species. </p> <p>This dataset includes the data and R code for this journal paper.</p>
Phylogenomic testing of root hypotheses - demonstrative datasets - Opisthokonta and Proteobacteria
<p>The determination of the last common ancestor (LCA) of a group of species plays a vital role in evolutionary theory. Traditionally, an LCA is inferred by the rooting of a fully resolved species tree. From a theoretical perspective, however, inference of the LCA amounts to the reconstruction of just one branch - the root branch - of the true species tree, and should therefore be a much easier task than the full resolution of the species tree. Discarding the reliance on a hypothesised species tree and its rooting leads us to re-evaluate what phylogenetic signal is directly relevant to LCA inference, and to recast the task as that of sampling the total evidence from all gene families at the genomic scope. Here we reformulate LCA and root inference in the framework of statistical hypothesis testing and outline an analytical procedure to formally test competing a-priori LCA hypotheses and to infer confidence sets for the earliest speciation events in the history of a group of species. Applying our methods to two demonstrative datasets we show that our inference of the opisthokonta LCA is well in agreement with the common knowledge. Inference of the proteobacteria LCA shows that it is most closely related to modern Epsilonproteobacteria, raising the possibility that it may have been characterized by a chemolithoautotrophic and anaerobic life-style. Our inference is based on data comprising between 43% (opisthokonta) and 86% (proteobacteria) of all gene families. Approaching LCA inference within a statistical framework renders the phylogenomic inference powerful and robust.</p>
On following pages: 81. Congo Free-tailed Bat (Mops congicus); 82. Mongalla Free-tailed Bat (Mops demonstrator); 83. Midas Free-tailed Bat (Mops midas); 84. Dwarf Free-tailed Bat (Mops nanulus); 85. Niangara Free-tailed Bat (Mops niangarae); 86. White-bellied Free-tailed Bat (Mops niveiventen; 87. Peterson's Free-tailed Bat (Mops peterson); 88. Spurrell's Free-tailed Bat (Mops spurrell)); 89. Railer Free-tailed Bat (Mops thersites); 90. Trevor's Free-tailed Bat (Mops trevor); 91. Malagasy White-bellied Free-tailed Bat (Mops leucostigma); 92. Malayan Free-tailed Bat (Mops mops); 93. Sulawesian Free-tailed Bat (Mops sarasinorum); 94. Harrison's Giant Mastiff Bat (Otomops harrisoni); 95. Large-eared Giant Mastiff Bat (Otomops martiensseni); 96. Madagascar Giant Mastiff Bat (Otomops madagascariensis); 97. Wroughton's Giant Mastiff Bat (Otomops wroughtoni); 98. Java Giant Mastiff Bat (Otomops formosus); 99. Johnstone's Giant Mastiff Bat (Otomops johnstonei); 100. Mantled Giant Mastiff Bat (Otomops secundus); 101. Papuan Giant Mastiff Bat (Otomops papuensis). in Molossidae
On following pages: 81. Congo Free-tailed Bat (Mops congicus); 82. Mongalla Free-tailed Bat (Mops demonstrator); 83. Midas Free-tailed Bat (Mops midas); 84. Dwarf Free-tailed Bat (Mops nanulus); 85. Niangara Free-tailed Bat (Mops niangarae); 86. White-bellied Free-tailed Bat (Mops niveiventen; 87. Peterson's Free-tailed Bat (Mops peterson); 88. Spurrell's Free-tailed Bat (Mops spurrell)); 89. Railer Free-tailed Bat (Mops thersites); 90. Trevor's Free-tailed Bat (Mops trevor); 91. Malagasy White-bellied Free-tailed Bat (Mops leucostigma); 92. Malayan Free-tailed Bat (Mops mops); 93. Sulawesian Free-tailed Bat (Mops sarasinorum); 94. Harrison's Giant Mastiff Bat (Otomops harrisoni); 95. Large-eared Giant Mastiff Bat (Otomops martiensseni); 96. Madagascar Giant Mastiff Bat (Otomops madagascariensis); 97. Wroughton's Giant Mastiff Bat (Otomops wroughtoni); 98. Java Giant Mastiff Bat (Otomops formosus); 99. Johnstone's Giant Mastiff Bat (Otomops johnstonei); 100. Mantled Giant Mastiff Bat (Otomops secundus); 101. Papuan Giant Mastiff Bat (Otomops papuensis).
Fair For Fusion Demonstrator II
<p>Demonstration video of the Fair for Fusion Demonstrator II.</p>
Fair For Fusion Demonstrator I
<p>Demonstration video of the Fair for Fusion Demonstrator I.</p>
Distribution. SW Angola, Namibia, Botswana, and South Africa; possibly present in S Zimbabwe but not yet demonstrated. in Muridae
Distribution. SW Angola, Namibia, Botswana, and South Africa; possibly present in S Zimbabwe but not yet demonstrated.
Application demonstrating show view updates result on MainActivity with expensive onBind call
<p>Results demonstrating show view updates result on MainActivity with expensive onBind call</p>
Evolutionary models demonstrate rapid and adaptive diversification of Australo-Papuan pythons
<p>Lineages may diversify when they encounter available ecological niches. Adaptive divergence by ecological opportunity often appears to follow the invasion of a new environment with open ecological space. This evolutionary process is hypothesized to explain the explosive diversification of numerous Australian vertebrate groups following the collision of the Eurasian and Australian plates 25 million years ago. One of these groups is the pythons, which demonstrate their greatest phenotypic and ecological diversity in Australo-Papua (Australia and New Guinea). Here, using an updated and near complete time-calibrated phylogenomic hypothesis of the group, we show that following invasion of this region, pythons experienced a sudden burst of speciation rates coupled with multiple instances of accelerated phenotypic evolution in head and body shape and body size. These results are consistent with adaptive radiation theory with an initial rapid niche filling phase and later slow-down approaching niche saturation. We discuss these findings in the context of other Australo-Papuan adaptive radiations and the importance of incorporating adaptive diversification systems that are not extraordinarily species-rich but ecomorphologically diverse to understand how biodiversity is generated.</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.