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56 results for “capture methods”
Fig. 6.1. Shell digitised with different methods. The photogrammetry model was captured with a 100 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.1. Shell digitised with different methods. The photogrammetry model was captured with a 100 mm Macro lens and processed with Agisoft Photoscan. The visual comparison of the mollusc shows a similar level of detail between photogrammetry and MechScan for the external surfaces, with still a bit more detail for the MechScan. The HDI Advance has a much lower resolution.
evaluation data for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"
<p>Data contains sound files of mouse vocalization needed to reproduce the evaluation results for "Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap)"</p> <p>If you use any of this data, cite the original source: <a href="https://doi.org/10.1016/j.anbehav.2020.09.006">https://doi.org/10.1016/j.anbehav.2020.09.006</a></p>
Morphological and DNA sequence data generated by Sanger sequencing and target capture methods for moss plants in the genus Fissidens from herbarium specimens
<p><span>Morphological evolution in mosses has long been hypothesized to accompany shifts in microhabitats and can be tested using comparative phylogenetics. These lines of inquiry have developed substantially, in part, by target capture sequencing allowing for phylogenomic scale data generated from herbarium specimens. In the present study, we test the relationship between taxonomically important morphological characters in the moss genus <em>Fissidens</em>, using both a 400-locus dataset generated using a target-capture approach as well as a three-locus phylogeny generated using sanger sequencing. Phylogenetic trees were generated using ASTRAL and Bayesian Inference and used to test the monophyly of subgenera/sections and provided the basis for ancestral character reconstruction and phylogenetic correlation analyses among five morphological characters as well as habitat moisture scored from literature. The characters <em>axillary hyaline nodules</em>, <em>limbidium</em>, <em>costa</em>, and <em>peristome morphology</em> as well as <em>sexual system</em>, <em>minimum habitat moisture</em>, <em>average habitat moisture</em>, <em>maximum habitat moisture</em>, and <em>habitat moisture niche breadth</em> each exhibit statistically significant phylogenetic signal. Significant correlations were found between the limbidium (phyllid/leaf border) and habitat moisture niche breadth, which could be interpreted as a more extensive <em>limbidium</em> enabling species to survive across a wider variety of habitats. Correlations were also found between <em>costa anatomy</em> and the <em>limbidum</em> of the gametophyte and sporophyte <em>peristome</em> <em>morphology</em>, as well as <em>average habitat moisture</em> and <em>sexual system</em>. Continued exploration of the relationships between morphological evolution, life history, and habitat will enable us to expand our understanding of functional morphology in mosses.</span></p>
A Facial Motion Capture System Based on Neural Network Classifier Using RGB-D Data-Figure 11. Accuracy of different method for unseen faces
<p>Table 3 shows the mode detection accuracy of the proposed method and its combination with two other methods (uniform LBP and circular LBP) for different people. The overall accuracy of the proposed procedure is calculated as this way one video is chosen as input, and after mode detection the three aforementioned steps are applied on this video. The obtained feature vectors are given to the neural network and the corresponding labels to each frame are regarded as output. Afterwards, the overall accuracy is calculated from the confusion matrix. However, it should be noted that the expression detection criteria are the observation of a certain number of subsequent similar labels and in the case of observing a limited or sparse number of different labels the final label would not change. Figure 10 and 11 show result of different methods for seen and unseen data respectively. Table 4 shows results for seen data with proposed method and uniform LBP.</p>
A Facial Motion Capture System Based on Neural Network Classifier Using RGB-D Data-Figure 2. Facial expression recognition in proposed method
<p>In this stage, a video is prepared using the color data captured from Kinect camera. The face region in each frame is obtained from the video using Viola-Jones algorithm (Figure 2). Because of different distance from the Kinect camera, the obtained images from the face must be re-sized, in order to have the same size. At the end, the colored images are converted to gray-scaled images.</p>
Figure 5 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 5: Differentiation coefficient based on species richness (left) and Simpson's index (right) in three sampling methods (A) Bait, (B) Pitfall, (C) Quadrat.
Figure 4 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 4. Differentiation coefficient based on species richness (left) and simpson's index (right) in three habitats: (A) Upland, (B) Littoral, (C) Urban.
Morphological and DNA sequence data generated by Sanger sequencing and target capture methods for moss plants in the genus Fissidens from herbarium specimens
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A simplified method for comprehensive capture of the Staphylococcus aureus proteome: S. aureus proteome data table
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A simple method to estimate capture height biases at landbird banding stations: opportunities and limitations
<p>Mist-nets are one of the most important tools for the capture of wild birds in ornithological research. The probability of capturing birds may vary by net height, which may drive capture biases. Such biases are rarely estimated, likely because of the relatively high cost and effort associated with constructing and operating elevated mist-net rigs where multiple mist-nets are stacked above one another. Therefore, a low-cost and -effort method to collect capture height data may allow broader investigation and better accounting of potential bias in existing banding protocols. Here, we investigate whether recording net panel of capture (with net panels indicating capture height, e.g., "upper panel") in ground-level mist-nets provides sufficient information to estimate capture height biases and compare these estimations to those obtained with traditional elevated mist-net rigs. Of the 29 taxa analyzed, we detected elevated capture biases for 11 (37.9%) and ground-level capture biases for seven (24.1%). When compared to estimates derived from elevated mist-net rigs at the same study site, we found high agreement with ground-level biases (75.0%) and low agreement with elevated biases (23.1%). These results suggest panel height of ground-level nets is a reliable method to estimate ground-level biases; however, scale of sampling may influence elevated biases, particularly for species that center their activity at the mid-story. Recording panel height may be quickly integrated into a station's processing protocols and broader application may improve our understanding of these biases.</p>
Target capture methods offer insight into the evolution of rapidly diverged taxa and resolve allopolyploid homeologs in the fern genus Polypodium s.s.
<p><span></span></p> <p>Like many fern lineages comprising reticulate species complexes, <em>Polypodium</em> s.s. (Polypodiacaeae) has a history shaped by rapid diversification, hybridization, and polyploidy that poses substantial challenges for phylogenetic inference with plastid and single-locus nuclear loci. Using target capture probes for 408 nuclear loci developed by the GOFlag project and a custom bioinformatic pipeline, SORTER, we constructed multi-locus nuclear datasets for diploid temperate and Mesoamerican species of <em>Polypodium</em> and five allotetraploid species belonging to the well-studied <em>Polypodium</em> <em>vulgare</em> complex. SORTER employs a clustering approach to separate putatively paralogous copies of targeted loci into orthologous matrices and haplotype phasing to infer allopolyploid haplotypes across loci, resulting in datasets amenable to both concatenated maximum likelihood and multi-species coalescent phylogenetic analyses. By comparing phylogenies derived from maximum likelihood and multi- species coalescent analyses of unphased and phased datasets, as well as evaluating discordance among gene trees and species trees, we recover support for incomplete lineage sorting within <em>Polypodium</em> s.s., novel relationships among diploid taxa of the <em>Polypodium</em> <em>vulgare</em> complex and its Mesoamerican sister clade, and the placement of several <em>Polypodium</em> species within other genera. Additionally, we were able to infer well-supported phylogenies that identified the hypothesized progenitors of the allotetraploid species, indicating that SORTER is an effective and accurate tool for reconstructing homeolog haplotypes of allopolyploids in fern taxa and other non-model organisms from target capture data.</p>
R code and simulation output for Efford, M. G. & Boulanger, J. 2019. Fast evaluation of study designs for spatially explicit capture-recapture. Methods in Ecology and Evolution
<p>R code and simulation output for Efford, M. G. & Boulanger,<br> J. 2019. Fast evaluation of study designs for spatially explicit<br> capture-recapture. Methods in Ecology and Evolution In press.</p> <p>R code draws on previously published R packages 'secr' and 'secrdesign' available from CRAN:</p> <p><a href="https://CRAN.R-project.org/package=secr">https://CRAN.R-project.org/package=secr</a></p> <p><a href="https://CRAN.R-project.org/package=secrdesign">https://CRAN.R-project.org/package=secrdesign</a></p>
Figure 3 in Testing capturing methods for the Yellow-legged Tinamou Crypturellus noctivagus (Wied, 1820) (Aves, Tinamidae) in southern Brazil
Figure 3. Illustrative scheme of the capturing procedures. (A) Linear arrangement of the bell-traps. (B) Triangular arrangement of the bell-traps. Arrangement of the tinamous replica and pyramid fall-traps.
Figure 2 in Testing capturing methods for the Yellow-legged Tinamou Crypturellus noctivagus (Wied, 1820) (Aves, Tinamidae) in southern Brazil
Figure 2. Bell-trap: (A) Plastic hose keeping the trap open. (B) Pyramid fall-trap with automatic trigger and cereal baits. (C) Tinamou ceramic replica. (D) Wooden stakes fixed on the ground, holding the nylon line which lifts the bell-trap.
A Novel Method for Capturing the Visual Evoked Potential During Spine Surgery Under Total Intravenous Anesthesia
ClinicalTrials.gov study NCT02563028. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Target capture methods offer insight into the evolution of rapidly diverged taxa and resolve allopolyploid homeologs in the fern genus Polypodium s.s.
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Data from: Genomic sequence capture of haemosporidian parasites: methods and prospects for enhanced study of host-parasite evolution
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Using spatial capture-recapture methods to estimate long-term spatiotemporal variation of a wide-ranging marine species
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A simple method to estimate capture height biases at landbird banding stations: opportunities and limitations
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Dataset to "A method for the reproduction of cello bow kinematics using a robotic arm and motion capture"
<p>This dataset is related to the paper "A method for the reproduction of cello bow kinematics using a robotic arm and motion capture".</p> <p>Contents:</p> <p>Recordings comparing a human performance and two robot performances (named case A and case B).</p> <ul> <li>Synchronised motion-capture data (time, bow markers, nut marker and bridge marker; Fs = 240 fps - .csv files)</li> <li>Synchronised audio recordings (sound in front of the instrument; Fs = 44100 Hz - .wav files)</li> <li>Music score</li> <li>Read-me file with further details</li> </ul>
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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.