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294
datasets available to search
ShareScore release 0.9.0
Dataset results
294 results for “data discovery”
Data from: A chromosomal-scale genome assembly of Tectona grandis reveals the importance of tandem gene duplication and enables discovery of genes in natural product biosynthetic pathways
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Data from: Discovery and characterization of single nucleotide polymorphisms in Chinook salmon, Oncorhynchus tshawytscha
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Data from: A RAD-sequencing approach to genome-wide marker discovery, genotyping, and phylogenetic inference in a diverse radiation of primates
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Data from: Large effect quantitative trait loci for salicinoid phenolic glycosides in Populus: implications for gene discovery
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Data for: An advanced systems biology framework of feature engineering for cold tolerance genes discovery from integrated omics and non-omics data in soybean
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Data from: high repeat content in the genomes of sparrows: the importance of genome assembly completeness for transposable element discovery
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Improving genome-wide association discovery and genomic prediction accuracy in biobank data
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Data from: Machine learning driven self-discovery of the robot body morphology
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Data from: Discovery of prolactin-like in lamprey: Role in osmoregulation and new insight into the evolution of the growth hormone/prolactin family
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Data and code to run birdnet-discovery, a pipeline for signal discovery and training dataset creation using BirdNET embeddings, including example data from acoustic ARUs in Northern Alaska
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Data from: Phylogeography, hybridization, and species discovery in the Etheostoma nigrum complex (Percidae: Etheostoma: Boleosoma)
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Data from: Next generation lineage discovery: a case study of tuberous Claytonia L.
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Data from: Exceptional levels of species discovery ameliorate inferences of the biogeography and diversification of an Afrotropical catfish family
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Supplementary data for: simultaneous species detection and discovery with environmental DNA metabarcoding: a freshwater mollusk case study
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Data from: Discovery and characterization of single nucleotide polymorphisms in two anadromous alosine fishes of conservation concern
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Data Set from the Systematization of Vulnerability Discovery Metrics
<p>The data set contains vulnerability discovery metric data extracted from 26 primary studies identified as part of the systematic literature review conducted. The review was conducted as part achieving our overall research vision to <em>assist software engineers in building secure software by providing a technique that generates scientific, interpretable, and actionable feedback on security as the software evolves</em>.</p>
Data from: Profiling extracellular long RNA transcriptome in human plasma and extracellular vesicles for biomarker discovery
<p>The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.</p>
Protein Subcellular localization prediction data used in the article entitled "MSclassifier: Median-Supplement model-based Classification tool for automated knowledge discovery"
<p>This repository contains data used to obtain results from a 5-fold cross-validation testing of how MSclassifier and other packages accurately predict protein subcellular localization in the software article entitled "MSclassifier: median-supplement model-based classification tool for automated knowledge discovery." The data used in the software article is derived from data generated in "G. K. Acquaah-Mensah, S. M. Leach, and C. Guda, Predicting the subcellular localization of human proteins using machine learning and exploratory data analysis, Genomics Proteomics Bioinformatics, 4(2):120-133, 2006, <a href="https://doi.org/10.1016/S1672-0229(06)60023-5">https://doi.org/10.1016/S1672-0229(06)60023-5</a>"</p>
Data from: Silence of the killers: discovery of male-killing suppression in a rearing strain of the small brown planthopper, Laodelphax striatellus
<p>According to evolutionary theory, sex ratio distortions caused by reproductive parasites such as <i>Wolbachia</i> and <i>Spiroplasma</i> are predicted to be rapidly normalised by the emergence of host nuclear suppressors. However, such processes in the evolutionary arms race are difficult to observe because sex ratio biases will be promptly hidden and become superficially unrecognisable. The evolution of genetic suppressors has been reported in just two insect species so far. In the small brown planthopper,<i> Laodelphax striatellus</i>,<i> </i>female-biases caused by <i>Spiroplasma</i>, which is a 'late' male-killer, have been found in some populations. During the continuous rearing of <i>L. striatellus</i>, we noticed that a rearing strain had a 1:1 sex ratio even though it harboured <i>Spiroplasma</i>. Through introgression crossing experiments with a strain lacking suppressors, we revealed that the <i>L. striatellus</i> strain had the zygotic male-killing suppressor acting as a dominant trait. The male-killing phenotype was hidden by the suppressor even though<i> Spiroplasma</i> retained its male-killing ability. This is the first study to demonstrate the existence of a late male-killing suppressor and its mode of inheritance. Our results, together with those of previous studies, suggest that the inheritance modes of male-killing suppressors are similar regardless of insect order or early or late male-killing.</p>
Data from: Severe childhood speech disorder: Gene discovery highlights transcriptional dysregulation
<p><b><span>Objective:</span></b><span> Determining the genetic basis of speech disorders provides insight into the neurobiology of human communication. Despite intensive investigation over the past two decades, the etiology of most children with speech disorder remains unexplained. Here we </span>searched for a genetic etiology in children with severe speech disorder, specifically childhood apraxia of speech (CAS).</p> <p><b>Methods:</b> Precise phenotyping together with research genome or exome analysis were performed on children referred with a primary diagnosis of CAS, as well as other medical or neurodevelopmental co-morbidities. Gene co-expression and gene set enrichment analyses analyses were conducted on high confidence gene candidates.</p> <p><b>Results:</b> 34 probands ascertained for CAS were studied. In 11/34 (32%) probands, we identified highly plausible pathogenic single nucleotide (n=10, <i>CDK13, EBF3, GNAO1, GNB1, DDX3X, MEIS2, POGZ, SETBP1, UPF2, ZNF142</i>) or copy number (n = 1, 5q14.3q21.1 locus) variants in novel genes or loci for CAS. Testing of parental DNA was available for nine probands and confirmed that the variants had arisen <i>de novo</i>. Eight genes encode proteins critical for regulation of gene transcription, and analyses of transcriptomic data found CAS-implicated genes were highly co-expressed in the developing human brain.</p> <p><b>Conclusion:</b><i> </i>We identify the likely genetic aetiology in 11 patients with CAS and implicate 9 genes for the first time. We find that CAS is often a sporadic monogenic disorder, and highly genetically heterogeneous. Highly penetrant variants implicate shared pathways in broad transcriptional regulation, highlighting the key role of transcriptional regulation in normal speech development. CAS is a distinctive, socially debilitating clinical disorder, and understanding its molecular basis is the first step towards identifying precision medicine approaches.</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.