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ShareScore release 0.9.0
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419 results for “capture data”
Data from: Target capture and massively parallel sequencing of ultraconserved elements for comparative studies at shallow evolutionary time scales
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Data from: Target capture and massively parallel sequencing of ultraconserved elements for comparative studies at shallow evolutionary time scales
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Data from: Acquired versus innate prey capturing skills in super-precocial live-bearing fish
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Data from: Long-term trends in wild-capture and population dynamics point to an uncertain future for captive elephants.
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Data from: Sequence Capture using PCR-generated Probes (SCPP): a cost-effective method of targeted high-throughput sequencing for non-model organisms
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Data from: Cost-effective enrichment hybridization capture of chloroplast genomes at deep multiplexing levels for population genetics and phylogeography studies
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Data from: Muscle tradeoffs in a power-amplified prey capture system
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Data from: Development of highly reliable in silico SNP resource and genotyping assay from exome capture and sequencing: an example from black spruce (Picea mariana)
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CHiCAGO: Robust Detection of DNA Looping Interactions in Capture Hi-C data
GEO Series GSE81503. Mus musculus; Homo sapiens. 6 samples. Type: Other.
Unsupervised analysis of flow cytometry data in a clinical setting captures cell diversity and allows population discovery
GEO Series GSE162177. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
In vitro capture and characterization of embryonic rosette-stage pluripotency between naive and primed states (II, single-cell RNA-Seq data)
GEO Series GSE145726. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
peakC: a flexible, non-parametric peak calling package for 4C and Capture-C data
GEO Series GSE105177. Mus musculus. 78 samples. Type: Other.
BayMeth: improved DNA methylation quantification for affinity capture sequencing data using a flexible Bayesian approach
GEO Series GSE54375. Homo sapiens. 2 samples. Type: Methylation profiling by genome tiling array.
MarTREC UTC Data Management Plan Project Name: Green Technology Approach for Capturing Pollution Washed from Transportation Infrastructures Principal Investigator Name(s): Dr. Danuta Leszczynska
<p>This is an original data related to the project sponsored by the MarTREC UTC </p> <p>Title: Green technology Approach for Capturing Pollution Washed from Transportation Infrastructures</p> <p>PI: Dr. Danuta Leszczynska</p>
Figure 2 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 2 VILE setup showing the camera (a), Stackshot rotary table (b)
Figure 6 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 6 VILE: Image output of VILE after cropping and stitching five individual images together.
Figure 4 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 4 Illustrative workflow for the three vial digitisation approaches MALICE, VILE and ReVILE.
data set related to article Automated pose estimation captures key aspects of General Movements at eight to 17 weeks from conventional videos
<p>This record contains raw data related to article Automated pose estimation captures key aspects of General Movements at eight to 17 weeks from conventional videos</p>
Data from: Population closure and the bias-precision trade-off in Spatial Capture-Recapture
1. Spatial capture-recapture (SCR) is an increasingly popular method for estimating ecological parameters. This method often relies on data collected over relatively long sampling periods. While longer sampling periods can yield larger sample sizes and thus increase precision of estimates, they also increase the risk of violating the closure assumption, thereby potentially introducing bias. The sampling period characteristics are therefore likely to play an important role in this bias-precision tradeoff. Yet few studies have studied this tradeoff and none has done so for SCR models. 2. In this study, we explored the influence of the length and timing of the sampling period on the bias-precision tradeoff of SCR population size estimators. Using a continuous time-to-event approach, we simulated populations with a wide range of life histories and sampling periods before quantifying the bias and precision of population size estimates returned by SCR models. 3. While longer sampling periods benefit the study of slow-living species (increased precision and lower bias), they lead to pronounced over-estimation of population size for fast living species. In addition, we show that both bias and uncertainty increase when the sampling period overlaps the species' reproductive season. 4. Based on our findings, we encourage investigators to carefully consider the life history of their study species when contemplating the length and the timing of the sampling period. We argue that SCR (and non-spatial capture-recapture) studies can safely extend the sampling period to increase precision, as long as it is timed to avoid peak recruitment periods. The simulation framework we propose here can be used to guide decisions regarding the sampling period for a specific situation.
Data from: Impact of enrichment conditions on cross-species capture of fresh and degraded DNA
By combining high-throughput sequencing with target-enrichment ("hybridization capture"), researchers are able to obtain molecular data from genomic regions of interest for projects that are otherwise constrained by sample quality (e.g. degraded and contamination-rich samples) or a lack of a priori sequence information (e.g. studies on non-model species). Despite the use of hybridization capture in various fields of research for many years, the impact of enrichment conditions on capture success are not yet thoroughly understood. We evaluated the impact of a key parameter – hybridization temperature – on the capture success of mitochondrial genomes across the carnivoran family Felidae. Capture was carried out for a range of samples types (fresh, archival, ancient) with varying levels of sequence divergence between bait and target (i.e. across a range of species) using pools of individually indexed libraries on Agilent SureSelect arrays. Our results suggest that hybridization capture protocols require specific optimization for the sample type that is being investigated. Hybridization temperature affected the proportion of on-target sequences following capture: for degraded samples, we obtained the best results with a hybridization temperature of 65 °C, while a touchdown approach (65 °C down to 50 °C) yielded the best results for fresh samples. Evaluation of capture performance at a regional scale (sliding window approach) revealed no significant improvement in the recovery of DNA fragments with high sequence divergence from the bait at any of the tested hybridization temperatures, suggesting that hybridization temperature may not be the critical parameter for enrichment of divergent fragments.
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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.