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419 results for “capture data”
Sea otter sequence capture project data files
Open the record for dataset details and reuse information.
Data in support of capturing functional strategies and compositional dynamics in vegetation demographic models
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Figure 3 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 3 A lateral image of ReVILE with the side panel removed to show the camera (a), turntable (b), stepper motor (c), Arduino Uno and motor driver controllers (d), front light panels (e), back light panel (f), light shield (g) and position of vial (arrow).
Figure 1 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 1 MALICE vial setup showing the acrylic mirrors (a) LEGO mirror tilt arms (b), formex base (c) and LEGO friction joint (d)
Figure 5 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 5 MALICE: Image output of MALICE including original output image (a) and the final processed image (b).
Figure 7 from: Dupont S, Humphries J, Butcher AJ, Baker E, Balcells L, Price BW (2020) Ahead of the curve: three approaches to mass digitisation of vials with a focus on label data capture. Research Ideas and Outcomes 6: e53606. https://doi.org/10.3897/rio.6.e53606
Figure 7 ReVILE: Two Rollout photography outputs of ReVILE. Left to right: a frame from the video (rotated 90° clockwise) showing the vial itself; the uncropped rollout image, covering more than one full rotation; the cropped rollout image, showing only one 360° rotation; the cropped rollout image, "shifted" across (by transferring a manually-defined block of pixel columns from the left side of the image to the right) to show the complete label
Effects of presence of shelter on smallmouth bass metabolic traits - capture and experiment data
<p>These data combine basic capture data (location, date, and physical variables) of smallmouth bass (<em>Micropterus dolomieu</em>) and experimental (metabolic traits calculated from respirometry experiments) data. Metabolic traits estimated during experiments in presence or absence of shelter on smallmouth bass were standard metabolic rates (SMR), resting metabolic rates (RMR), maximum metabolic rates (MMR), aerobic scope (AS), recovery time from MMR to SMR (RT), and excess post-exercise oxygen consumption (EPOC). These data consist in datatables accessible openly. Details provided in metadata file.</p>
A live screen capture of the AVA360VR prototype being used to annotate camerawork training video data
<p>In this 2D video clip, we see a live screen capture of the AVA360VR prototype being used to annotate camerawork training data. This clip was recorded in January 2018 with an alpha version of the prototype. The functions shown do not necessarily reflect those in the final software tool.</p> <p><em>AVA360VR </em>(Annotate, Visualise, Analyse 360° video in VR) is a VR software tool developed by the BigSoftVideo team at Aalborg University. The aim is to support ‘inhabiting’ 360-degree video data – that is, to explore complex spatial video and audio recordings of a scene in which social interaction took place through a tangible interface in virtual reality.</p> <p> </p> <p> </p> <p> </p>
Preprocessing scripts and data for study: Identifying high-confidence capture Hi-C interactions using CHiCANE
<p>Preprocessing scripts and processed data from CHi-C libraries generated from breast cancer cells (T47-D) and Megakaryoctye cells (MK).</p>
Raw data associated with the article: "Single-molecule DNA sequencing of widely varying GC-content using nucleotide release, capture and detection in microdroplets.", NAR, Puchtler et.al.
<p>All data taken in the production of the corresponding paper: "Single-molecule DNA sequencing of widely varying GC-content using nucleotide release, capture and detection in microdroplets."</p> <p>The associated manuscript describes a method for DNA sequencing which involves the sequential release of nucleotides from a single, immobilised strand of DNA via pyrophosphorolysis (PPL). Released nucleotides, in the form of dNTPs, are captured in microdroplets which are manipulated using an optical-EWOD platform. A detection chemistry within each droplet releases a specific dye depending on which dNTPs are present, allowing the optical read-out of bases within each droplet. Hence, by capturing bases sequentially within droplets as they are cleaved from the strand of DNA, the sequence can be optically identified.</p>
Differential analysis of binarized single-cell RNA sequencing data captures biological variation
<p>Processed datasets used for binary differential analysis experiments.</p>
Data from: Modularity and rates of evolutionary change in a power-amplified prey capture system
The dynamic interplay among structure, function and phylogeny form a classic triad of influences on the patterns and processes of biological diversification. While these dynamics are widely recognized as important, quantitative analyses of their interactions have infrequently been applied to biomechanical systems. Here we analyze these factors using a fundamental biomechanical mechanism: power amplification. Power-amplified systems use springs and latches to generate extremely fast and powerful movements. This study focuses specifically on the power amplification mechanism in the fast raptorial appendages of mantis shrimp (Crustacea: Stomatopoda). Using geometric morphometric and phylogenetic comparative analyses, we measured evolutionary modularity and rates of morphological evolution of the raptorial appendage's biomechanical components. We found that "smashers" (hammer-shaped raptorial appendages) exhibit lower modularity and 10-fold slower rates of morphological change when compared to non-smashers (spear-shaped or undifferentiated appendages). The morphological and biomechanical integration of this system at a macro-evolutionary scale and the presence of variable rates of evolution reveal a balance between structural constraints, functional variation, and the developmental and genetic roles in evolutionary diversification.
Data from: Estimating fish abundance and biomass from eDNA concentrations: variability among capture methods and environmental conditions
Environmental DNA (eDNA) promises to ease non-invasive quantification of fish biomass or abundance, but its integration within conservation and fisheries management is currently limited by a lack of understanding of the influence of eDNA collection method and environmental conditions on eDNA concentrations in water samples. Water temperature is known to influence the metabolism of fish and consequently could strongly affect eDNA release rate. As water temperature varies in temperate regions (both seasonally and geographically), the unknown effect of water temperature on eDNA concentrations poses practical limitations on quantifying fish populations using eDNA from water samples. This study aims to clarify how water temperature and the eDNA capture method alter the relationships between eDNA concentration and fish abundance/biomass. Water samples (1 L) were collected from 30 aquaria including triplicate of 0, 5, 10, 15 and 20 Brook Charr specimens at two different temperatures. Water samples were filtered with five different types of filters. The eDNA concentration obtained by quantitative PCR (qPCR) varied significantly with fish abundance and biomass and type of filters (Mixed-design ANOVA, P < 0.001). Results also show that fish released more eDNA in warm water than cold water and that eDNA concentration better reflects fish abundance/biomass at high temperature. From a technical standpoint, higher levels of eDNA were captured with glass fiber (GF) than mixed cellulose ester (MCE) filters and support the importance of adequate filters to quantify fish abundance based on the eDNA method. This study supports the importance of including water temperature in fish abundance/biomass prediction models based on eDNA.
Data from: Optimizing techniques to capture and extract environmental DNA for detection and quantification of fish
Few studies have examined capture and extraction methods for environmental DNA (eDNA) to identify techniques optimal for detection and quantification. In this study, precipitation, centrifugation and filtration eDNA capture methods and six commercially available DNA extraction kits were evaluated for their ability to detect and quantify common carp (Cyprinus carpio) mitochondrial DNA using quantitative PCR in a series of laboratory experiments. Filtration methods yielded the most carp eDNA, and a glass fibre (GF) filter performed better than a similar pore size polycarbonate (PC) filter. Smaller pore sized filters had higher regression slopes of biomass to eDNA, indicating that they were potentially more sensitive to changes in biomass. Comparison of DNA extraction kits showed that the MP Biomedicals FastDNA SPIN Kit yielded the most carp eDNA and was the most sensitive for detection purposes, despite minor inhibition. The MoBio PowerSoil DNA Isolation Kit had the lowest coefficient of variation in extraction efficiency between lake and well water and had no detectable inhibition, making it most suitable for comparisons across aquatic environments. Of the methods tested, we recommend using a 1.5 μm GF filter, followed by extraction with the MP Biomedicals FastDNA SPIN Kit for detection. For quantification of eDNA, filtration through a 0.2–0.6 μm pore size PC filter, followed by extraction with MoBio PowerSoil DNA Isolation Kit was optimal. These results are broadly applicable for laboratory studies on carps and potentially other cyprinids. The recommendations can also be used to inform choice of methodology for field studies.
Data from: Modelled three-dimensional suction accuracy predicts prey capture success in three species of centrarchid fishes
Prey capture is critical for survival, and differences in correctly positioning and timing a strike (accuracy) are likely related to variation in capture success. However, an ability to quantify accuracy under natural conditions, particularly for fishes, is lacking. We developed a predictive model of suction hydrodynamics and applied it to natural behaviours using three-dimensional kinematics of three centrarchid fishes capturing evasive and non-evasive prey. A spheroid ingested volume of water (IVW) with dimensions predicted by peak gape and ram speed was verified with known hydrodynamics for two species. Differences in capture success occurred primarily with evasive prey (64–96% success). Micropterus salmoides had the greatest ram and gape when capturing evasive prey, resulting in the largest and most elongate IVW. Accuracy predicted capture success, although other factors may also be important. The lower accuracy previously observed in M. salmoides was not replicated, but this is likely due to more natural conditions in our study. Additionally, we discuss the role of modulation and integrated behaviours in shaping the IVW and determining accuracy. With our model, accuracy is a more accessible performance measure for suction-feeding fishes, which can be used to explore macroevolutionary patterns of prey capture evolution.
Data from: Muscle tradeoffs in a power-amplified prey capture system
Should animals operating at great speeds and accelerations use fast or slow muscles? The answer hinges on a fundamental tradeoff: muscles can be maximally fast or forceful, but not both. Direct lever systems offer a straightforward manifestation of this tradeoff, yet the fastest organisms use power amplification, not direct lever action. Power-amplified systems typically use slow, forceful muscles to pre-load springs which then rapidly release elastic potential energy to generate high speeds and accelerations. However, a fast response to a stimulus may necessitate fast spring-loading. Across 22 mantis shrimp species (Stomatopoda), this study examined how muscle anatomy correlates with spring mechanics and appendage type. We found that muscle force is maximized through physiological cross-sectional area, but not through sarcomere length. Sit-and-wait predators had the shortest sarcomere lengths (fastest contractions) and the slowest strike speeds. The species that crush shells ("smashers") had the fastest speeds, most forceful springs and longest sarcomeres. The origin of the smasher clade yielded dazzlingly high accelerations, perhaps due to the release from fast spring-loading for evasive prey capture. This study offers a new window into the dynamics of force-speed tradeoffs in muscles in the biomechanical, comparative evolutionary framework of power-amplified systems.
Data from: A strengths-based data capture model: mining data-driven and person-centered health assets
With health care policy directives advancing value-based care, risk assessments and management have permeated health care discourse. The conventional problem-based infrastructure defines what data are employed to build this discourse and how it unfolds. Such a health care model tends to bias data for risk assessment and risk management toward problems and does not capture data about health assets or strengths. The purpose of this article is to explore and illustrate the incorporation of a strengths-based data capture model into risk assessment and management by harnessing data-driven and person-centered health assets using the Omaha System. This strengths-based data capture model encourages and enables use of whole-person data including strengths at the individual level and, in aggregate, at the population level. When aggregated, such data may be used for the development of strengths-based population health metrics that will promote evaluation of data-driven and person-centered care, outcomes, and value.
Data from: A dedicated target capture approach reveals variable genetic markers across micro- and macro-evolutionary time scales in palms
Understanding the genetics of biological diversification across micro- and macro-evolutionary time scales is a vibrant field of research for molecular ecologists as rapid advances in sequencing technologies promise to overcome former limitations. In palms, an emblematic, economically and ecologically important plant family with high diversity in the tropics, studies of diversification at the population and species levels are still hampered by a lack of genomic markers suitable for the genotyping of large numbers of recently diverged taxa. To fill this gap, we used a whole genome sequencing approach to develop target sequencing for molecular markers in 4,184 genome regions, including 4,051 genes and 133 non-genic putatively neutral regions. These markers were chosen to cover a wide range of evolutionary rates allowing future studies at the family, genus, species and population levels. Special emphasis was given to the avoidance of copy number variation during marker selection. In addition, a set of 149 well-known sequence regions previously used as phylogenetic markers by the palm biological research community were included in the target regions, to open the possibility to combine and jointly analyse already available data sets with genomic data to be produced with this new toolkit. The bait set was effective for species belonging to all three palm subfamilies tested (Arecoideae, Ceroxyloideae and Coryphoideae), with high mapping rates, specificity and efficiency. The number of high quality Single Nucleotide Polymorphisms (SNPs) detected at both the subfamily and population levels facilitates efficient analyses of genomic diversity across micro- and macro-evolutionary time scales.
Data from: Comparison of target-capture and restriction-site associated DNA sequencing for phylogenomics: a test in cardinalid tanagers (Aves, genus: Piranga)
Restriction-site associated DNA sequencing (RAD-seq) and target capture of specific genomic regions, such as ultraconserved elements (UCEs), are emerging as two of the most popular methods for phylogenomics using reduced-representation genomic datasets. These two methods were designed to target different evolutionary timescales: RAD-seq was designed for population-genomic level questions and UCEs for deeper phylogenetics. The utility of both datasets to infer phylogenies across a variety of taxonomic levels has not been adequately compared within the same taxonomic system. Additionally, the effects of uninformative gene trees on species tree analyses (for target capture data) have not been explored. Here, we utilize RAD-seq and UCE data to infer a phylogeny of the bird genus Piranga. The group has a range of divergence dates (0.5 my – 6 my), contains eleven recognized species, and lacks a resolved phylogeny. We compared two species tree methods for the RAD-seq data and six species tree methods for the UCE data. Additionally, in the UCE data, we analyzed a complete matrix as well as datasets with only highly informative loci. A complete matrix of 189 UCE loci with ten or more parsimony informative (PI) sites, and an ~80% complete matrix of 1128 PI SNPs (from RAD-seq) yield the same fully resolved phylogeny of Piranga. We inferred non-monophyletic relationships of P. lutea individuals, with all other a priori species identified as monophyletic. Finally, we found that species tree analyses that included predominantly uninformative gene trees provided strong support for different topologies, with consistent phylogenetic results when limiting species tree analyses to highly informative loci or only using less informative loci with concatenation or methods meant for SNPs alone.
Data from: Targeted capture of complete coding regions across divergent species
Despite continued advances in sequencing technologies, there is a need for methods that can efficiently sequence large numbers of genes from diverse species. One approach to accomplish this is targeted capture (hybrid enrichment). While these methods are well established for genome resequencing projects, cross-species capture strategies are still being developed and generally focus on the capture of conserved regions, rather than complete coding regions from specific genes of interest. The resulting data is thus useful for phylogenetic studies, but the wealth of comparative data that could be used for evolutionary and functional studies is lost. Here we design and implement a targeted capture method that enables recovery of complete coding regions across broad taxonomic scales. Capture probes were designed from multiple reference species and extensively tiled in order to facilitate cross-species capture. Using novel bioinformatics pipelines we were able to recover nearly all of the targeted genes with high completeness from species that were up to 200 myr divergent. Increased probe diversity and tiling for a subset of genes had a large positive effect on both recovery and completeness. The resulting data produced an accurate species tree, but importantly this same data can also be applied to studies of molecular evolution and function that will allow researchers to ask larger questions in broader phylogenetic contexts. Our method demonstrates the utility of cross-species approaches for the capture of full length coding sequences, and will substantially improve the ability for researchers to conduct large-scale comparative studies of molecular evolution and function.
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.