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419 results for “capture data”
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
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Data from: Diversity of seeds captured by interception exceeds diversity of seeds deposited in traps
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Data from: A stable phylogenomic classification of Travunioidea (Arachnida, Opiliones, Laniatores) based on sequence capture of ultraconserved elements
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Solid-state NMR data for: Sequential pore functionalization in MOFs for enhanced carbon dioxide capture
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Data for: Capturing synchronization with complexity measure of ordinal pattern transition network constructed by Crossplot
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Bird capture and vegetation structure data from 12 forest sites in Allpahuayo-Mishana National Reserve, Peru
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Macquarie Island southern elephant seal capture-mark-recapture data
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Small mammal capture data from summer and winter in northern Wisconsin, USA
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Solid-state nuclear magnetic resonance data from: Covalent organic frameworks for carbon dioxide capture from air
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University of Kansas Field Station: Cumulative field records of snake species collected by Dr. Henry S. Fitch 1948 - 2003, with a few additional records collected 2004 - 2016. Records contain capture locations, measurements, notes on reproduction, recapture, and growth data. This data package contains individual files for 14 species.
Dr. Henry S. Fitch began his pioneering research on the snake fauna of the Fitch Natural History Reservation and adjacent University of Kansas Field Station in 1948. Fitch remained an active researcher until the early 2000s. For nearly six decades he conducted extensive field work on snakes using capture/recapture techniques, and compiled other biological data as well (e.g., all snakes captured were weighed, measured, and marked with incomplete data collected on reproduction, stomach contents, and recaptures). This research resulted in scores of scientific publications on the ecology of the snakes. Henry S. Fitch died in 2009 and left as a legacy hand-written data sheets with approximately 60,000 capture records. George R. Pisani, a biologist at the University of Kansas and later at the Kansas Biological Survey, collaborated with Fitch on some ecological studies. Beginning about 2005, Pisani began the many-year process of converting the thousands of Fitch’s records of snake captures into an electronic database. This work was funded in part by the Kansas Dept. of Wildlife, Parks and Tourism Chickadee Checkoff Program.
"The evolutionary history of Neandertal and Denisovan Y chromosomes" - hg20 mapping of the capture data
<p>This archive contains the alignments of all individuals captured with the 6.9 Mb array mapped to GRCh38/hg20. See the project's GitHub repository for more information: <a href="https://www.github.com/bodkan/archaic-ychr">https://www.github.com/bodkan/archaic-ychr</a>.</p>
Data from: Capturing open ocean biodiversity: comparing environmental DNA metabarcoding to the continuous plankton recorder
Environmental DNA (eDNA) metabarcoding is emerging as a novel, objective tool for monitoring marine metazoan biodiversity. Zooplankton biodiversity in the vast and important open ocean is currently monitored through continuous plankton recorder (CPR) surveys, using ship-based bulk plankton sampling and morphological identification. We assessed whether eDNA metabarcoding (2 L filtered seawater) could capture similar Southern Ocean biodiversity as conventional CPR bulk sampling (~1500 L filtered seawater per CPR sample). We directly compared eDNA metabarcoding with (i) conventional morphological CPR sampling and (ii) bulk DNA metabarcoding of CPR collected plankton (two transects for each comparison, 40 and 44 paired samples respectively). A metazoan‐targeted cytochrome c oxidase I (COI) marker was used to characterize species-level diversity. In the 2 L eDNA samples this marker amplified large amounts of non‐metazoan picoplanktonic algae, but eDNA metabarcoding still detected up to 1.6 times more zooplankton species than morphologically analysed bulk CPR samples. COI metabarcoding of bulk DNA samples mostly avoided non-metazoan amplifications and recovered more zooplankton species than eDNA metabarcoding. However, eDNA metabarcoding detected roughly two thirds of metazoan species and identified similar taxa contributing to community differentiation across the subtropical front separating transects. We observed a diurnal pattern in eDNA data for copepods which perform diel vertical migrations, indicating a surprisingly short temporal eDNA signal. Compared to COI, a eukaryote-targeted 18S ribosomal RNA marker detected a higher proportion, but lower diversity, of metazoans in eDNA. With refinement and standardization of methodology, eDNA metabarcoding could become an efficient tool for monitoring open ocean biodiversity.
Data and code for: The evolution of siphonophore tentilla for specialized prey capture in the open ocean
<p>Predator specialization has often been considered an evolutionary 'dead-end' due to the constraints associated with the evolution of morphological and functional optimizations throughout the organism. However, in some predators, these changes are localized in separate structures dedicated to prey capture. One of the most extreme cases of this modularity can be observed in siphonophores, a clade of pelagic colonial cnidarians that use tentilla (tentacle side branches armed with nematocysts) exclusively for prey capture. Here we study how siphonophore specialists and generalists evolve, and what morphological changes are associated with these transitions. To answer these questions, we: (1) measured 29 morphological characters of tentacles from 45 siphonophore species, (2) mapped these data to a phylogenetic tree, and (3) analyzed the evolutionary associations between morphological characters and prey type data from the literature. Instead of a dead-end, we found that siphonophore specialists can evolve into generalists, and that specialists on one prey type have directly evolved into specialists on other prey types. Our results show that siphonophore tentillum morphology has strong evolutionary associations with prey type, and suggest that shifts between prey types are linked to shifts in the morphology, mode of evolution, and genetic correlations of tentilla and their nematocysts. The evolutionary history of siphonophore specialization helps build a broader perspective on predatory niche diversification via morphological innovation and evolution. These findings contribute to understanding how specialization and morphological evolution have shaped present-day food webs.</p>
Data from: Sampling beetle communities: trap design interacts with weather and species traits to bias capture rates
<p>Globally, many insect populations are declining, prompting calls for action. Yet these findings have also prompted discussion about sampling methods and interpretation of long-term datasets. As insect monitoring and research efforts increase, it is critical to quantify the effectiveness of sampling methods. This is especially true if sampling biases of different methods covary with climate, which is also changing over time. We assess the effectiveness of two types of flight intercept traps commonly used for beetles, a diverse insect group responsible for numerous ecosystem services, under different climatic conditions in Norwegian boreal forest. One of these trap designs includes a device to prevent rainwater from entering the collection vial, diluting preservatives and flushing out beetles. This design is compared to a standard trap. We ask how beetle capture rates vary between these traps, and how these differences vary based on precipitation levels and beetle body size, an important species trait. Bayesian mixed models reveal that the standard and modified traps differ in their beetle capture rates, but that the magnitude and direction of these differences change with precipitation levels and beetle body size. At low rainfall levels standard traps catch more beetles, but as precipitation increases the catch rates of modified traps overtake those of standard traps. This effect is most pronounced for large-bodied beetles. Sampling methods are known to differ in their effectiveness. Here, we present evidence for a less well-known but likely common phenomenon - an interaction between climate and sampling, such that relative effectiveness of trap types for beetle sampling differs depending on precipitation levels and species traits. This highlights a challenge for long-term monitoring programs, where both climate and insect populations are changing. Sampling methods should be sought that eliminate climate interactions, any biases should be quantified, and all insect datasets should include detailed methodological metadata.</p>
Data and code for: River noise alters orb-weaving spider abundance, web size, and prey capture
<p>Novel anthropogenic noise has received considerable attention in behavioral ecology, but natural acoustic environments have largely been ignored as ecological niche axes. In riparian sites, within an arid sagebrush steppe ecosystem, we use a natural range of acoustic environments along with experimentally broadcasted whitewater river noise to test our hypothesis that river noise is an important niche axis. We show that orb-weaving spiders (Araneidae and Tetragnathidae) are more abundant in high sound level environments, but do not seem to be affected by the background noise spectrum. We explore multiple hypotheses for these patterns, such as loss of vertebrate predators and increased prey capture, and then assess how web-building behavior and body condition may be altered. Here, we demonstrate that river noise has the potential to alter spider abundance and behavior.</p>
Data from: Comparison of taxon-specific versus general locus sets for targeted sequence capture for plant phylogenomics
Premise of the study: Targeted sequence capture can be used to efficiently gather sequence data for large numbers of loci, such as single-copy nuclear loci. Most published studies in plants have used taxon-specific locus sets developed individually for a clade using multiple genomic and transcriptomic resources. General locus sets can also be developed from loci that have been identified as single-copy and having orthologs in large clades of plants. Methods: We identify and compare a taxon-specific locus set and three general locus sets (COSII, APVO SSC, PPR) for targeted sequence capture in Buddleja (Scrophulariaceae) and outgroups. We evaluate their performance in terms of assembly success, sequence variability, and resolution and support of inferred phylogenetic trees. Results: The taxon-specific locus set had the most target loci. Assembly success was high for all locus sets in Buddleja samples. For outgroups, general locus sets had greater assembly success. Taxon-specific and PPR loci had the highest average variability. The taxon-specific dataset produced the best supported tree, but all datasets showed improved resolution over previous non-sequence capture datasets. Discussion: General loci can be a useful source of sequence capture targets, especially if multiple genomic resources are not available for a taxon.
Data from: Estimating population size in the presence of temporary migration using a joint analysis of telemetry and capture recapture data
1.Temporary migration – where individuals can leave and re-enter a sampled population – is a feature of many capture–mark–recapture (CMR) studies of mobile populations which, if unaccounted for, can lead to biased estimates of population capture probabilities and consequently biased estimates of population abundance. 2. We present a method for incorporating radiotelemetry data within a CMR study to eliminate bias due to temporary migration using a Bayesian state-space model. 3. Our results indicate that using a relatively small number of telemetry tags, it is possible to greatly reduce bias in estimates of capture probabilities using telemetry data to model transition probabilities in and out of the sampling area. In a capture–recapture data set for trout Cod in the Murray river, Australia, accounting for temporary migration led to overall higher estimates of capture probabilities than models assuming permanent or zero migration. Also, individual heterogeneity in detectability can be managed through explicit modelling. We show how accounting for temporary migration when estimating capture probabilities can be used to estimate the abundance and size distribution of a population as though it were closed. 4. Our model provides a basis for more complex models that might integrate telemetry data into other CMR scenarios, thus allowing for greater precision in estimates of vital rates that might otherwise be biased by temporary migration. Our results highlight the importance of accounting for migration in survey design and parameter estimation, and the potential scope for supplementing large-scale CMR data sets with a subset of auxiliary data that provide information on processes that are hidden to primary sampling processes.
Data from: Genomic prediction accuracies in space and time for height and wood density of Douglas-fir using exome capture as the genotyping platform
Background Genomic selection (GS) can offer unprecedented gains, in terms of cost efficiency and generation turnover, to forest tree selective breeding; especially for late expressing and low heritability traits. Here, we used: 1) exome capture as a genotyping platform for 1372 Douglas-fir trees representing 37 full-sib families growing on three sites in British Columbia, Canada and 2) height growth and wood density (EBVs), and deregressed estimated breeding values (DEBVs) as phenotypes. Representing models with (EBVs) and without (DEBVs) pedigree structure. Ridge regression best linear unbiased predictor (RR-BLUP) and generalized ridge regression (GRR) were used to assess their predictive accuracies over space (within site, cross-sites, multi-site, and multi-site to single site) and time (age-age/ trait-trait). Results The RR-BLUP and GRR models produced similar predictive accuracies across the studied traits. Within-site GS prediction accuracies with models trained on EBVs were high (RR-BLUP: 0.79–0.91 and GRR: 0.80–0.91), and were generally similar to the multi-site (RR-BLUP: 0.83–0.91, GRR: 0.83–0.91) and multi-site to single-site predictive accuracies (RR-BLUP: 0.79–0.92, GRR: 0.79–0.92). Cross-site predictions were surprisingly high, with predictive accuracies within a similar range (RR-BLUP: 0.79–0.92, GRR: 0.78–0.91). Height at 12 years was deemed the earliest acceptable age at which accurate predictions can be made concerning future height (age-age) and wood density (trait-trait). Using DEBVs reduced the accuracies of all cross-validation procedures dramatically, indicating that the models were tracking pedigree (family means), rather than marker-QTL LD. Conclusions While GS models' prediction accuracies were high, the main driving force was the pedigree tracking rather than LD. It is likely that many more markers are needed to increase the chance of capturing the LD between causal genes and markers.
Data from: Phylogenetics of moth-like butterflies (Papilionoidea: Hedylidae) based on a new 13-locus target capture probe set
The Neotropical moth-like butterflies (Hedylidae) are perhaps the most unusual butterfly family. In addition to being species-poor, this family is predominantly nocturnal and has anti-bat ultrasound hearing organs. Evolutionary relationships among the 36 described species are largely unexplored. A 13-gene anchored hybrid enrichment probe set ('BUTTERFLY2.0'), that includes standard markers used in butterfly phylogenetics, captured sequences from decades-old museum specimens, and appears to be a cost-effective technique to infer phylogenetic relationships of the butterfly tree of life. Our dataset comprises up to 10,898 aligned base pairs from each of the 22 species of Hedylidae and 19 outgroups. Eleven of the thirteen loci were captured from 100% of the taxa, and the remaining loci were captured from ≥94% of taxa. The inferred phylogeny had robust support at 80% of nodes. Our results are consistent with morphological work, with Macrosoma tipulata sister to all remaining hedylids, followed by M. semiermis sister to the remaining species in the genus. We tested the hypothesis that nocturnality evolved only once from diurnality in Hedylidae, and showed that the ancestral condition was likely diurnal, with a shift to nocturnality early in the diversification of this family.
Data from: A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata
Development of genome-wide resources for application in genomic selection or genome-wide association studies, in the absences of full reference genomes, present a challenge to the forestry industry, where longer breeding cycles could benefit from the accelerated selection possible through marker-based breeding value predictions. In particular, large conifer megagenomes require a strategy to reduce complexity, whilst ensuring genome-wide coverage is achieved. Using a transcriptome-based reference template, we have successfully developed a high density exome capture genotype-by-sequencing panel for radiata pine (Pinus radiata D.Don), capable of capturing in excess of 80,000 single nucleotide polymorphism (SNP) markers with a minor allele frequency above 0.03 in the population tested. This represents approximately 29,000 gene models from a core set of 48,914 probes. A set of 704 SMP markers capable of pedigree reconstruction and differentiating individual genotypes were tested within two full-sib mapping populations. While as few as 70 markers could reconstruct parentage in almost all cases, the impact of missing genotypes was noticeable in several offspring. Therefore, sets of 60 sets of 110 randomly selected SNP markers were compared for both parentage reconstruction and clone differentiation. The performance in parentage reconstruction showed little variation over 60 iterations. However, there was notable variation in discriminatory power between closely related individuals, indicating a higher density SNP marker panel may be required to elucidate hidden relationships in complex pedigrees.
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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)
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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.