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1,543
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Dataset results
1,543 results for “spots”
Analysis of the Cercospora zeina transciptome in the early, mid and late stages of gray leaf spot disease on maize
GEO Series GSE305815. Zea mays; Cercospora zeina. 12 samples. Type: Expression profiling by high throughput sequencing.
Different hot spot mutations in the TP53 genes exerts different biology and outcome
GEO Series GSE173364. Homo sapiens. 22 samples. Type: Expression profiling by high throughput sequencing.
Peripheral blood transcriptome profiles derived from parallel venipuncture (PAXgene and mononuclear cell; PBMC) and dried blood spot (DBS) samples.
GEO Series GSE75511. Homo sapiens. 249 samples. Type: Expression profiling by array.
Transcriptome analysis of poplar during leaf spot infection with Sphaerulina spp.
GEO Series GSE67697. Populus balsamifera; Populus tremuloides; Populus deltoides. 36 samples. Type: Expression profiling by high throughput sequencing.
Comparing bacterial community composition of healthy and dark-spot-affected Siderastrea siderea in Florida and the Caribbean.
GEO Series GSE60622. mixed sample; Archaea; Bacteria. 17 samples. Type: Other.
The dynamic behavior of chromatophores marks the transition from bands to spots in leopard geckos
GEO Series GSE264342. Eublepharis macularius. 1 samples. Type: Expression profiling by high throughput sequencing.
The Role of the Microenvironment on the Localization of Hair and Skin Nonuniform Pigmented Spots in Mice with a Targeted Mutation in the Endothelin B Receptor
GEO Series GSE302869. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Developmental stage-specific small RNA composition in the two-spotted spider mite (Tetranychus urticae)
GEO Series GSE32005. Tetranychus urticae. 3 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Systems genetics reveals a transcriptional network associated with susceptibility in the maize-gray leaf spot pathosystem
GEO Series GSE81344. Zea mays. 6 samples. Type: Expression profiling by high throughput sequencing.
Hot spots of DNA double-strand breaks and genomic contacts of human rDNA units are involved in epigenetic regulation [DSBs]
GEO Series GSE49302. Homo sapiens. 1 samples. Type: Other.
Single-cell RNA sequencing reveals the gonadal dynamic changes of sex differentiation in hermaphroditic protogynous orange-spotted grouper, Epinephelus coioides
GEO Series GSE218835. Epinephelus coioides. 6 samples. Type: Expression profiling by high throughput sequencing.
MicroRNA sequencing of BIBINS HIE dried blood spot
GEO Series GSE181127. Homo sapiens. 32 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Microarray Analysis of microRNA Expression during Notophthalmus viridescens (red-spotted newt) heart regeneration
GEO Series GSE44547. Notophthalmus viridescens; Danio rerio; Pipidae; Homo sapiens. 3 samples. Type: Non-coding RNA profiling by array.
Maize and Cercospora zeina transcriptome analysis during gray leaf spot foliar disease
GEO Series GSE94442. Zea mays; Cercospora zeina. 6 samples. Type: Expression profiling by high throughput sequencing.
Meiotic recombination cold spots in chromosomal cohesion sites [ChIP-chip]
GEO Series GSE52858. Schizosaccharomyces pombe. 2 samples. Type: Genome binding/occupancy profiling by genome tiling array.
International artificial intelligence research progress and visual analysis of hot spots——data set
<p>International artificial intelligence research progress and visual analysis of hot spots——data set</p>
Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra
<p>The data used in Weigt et al., study <em>"Characteristics of Jupiter's X-ray auroral hot spot emissions using Chandra"</em>. The README.pdf explains what data is used to produce each Figure in the article with links to the Chandra archive and scripts used for the polar plots.</p>
Data from: Structural habitat predicts functional dispersal habitat of a large carnivore: how leopards change spots
Natal dispersal promotes inter-population linkage, and is key to spatial distribution of populations. Degradation of suitable landscape structures beyond the specific threshold of an individual's ability to disperse can therefore lead to disruption of functional landscape connectivity and impact metapopulation function. Because it ignores behavioral responses of individuals, structural connectivity is easier to assess than functional connectivity and is often used as a surrogate for landscape connectivity modeling. However using structural resource selection models as surrogate for modeling functional connectivity through dispersal could be erroneous. We tested how well a second-order resource selection function (RSF) models (structural connectivity), based on GPS telemetry data from resident adult leopard (Panthera pardus L.), could predict subadult habitat use during dispersal (functional connectivity). We created eight non-exclusive subsets of the subadult data based on differing definitions of dispersal to assess the predictive ability of our adult-based RSF model extrapolated over a broader landscape. Dispersing leopards used habitats in accordance with adult selection patterns, regardless of the definition of dispersal considered. We demonstrate that, for a wide-ranging apex carnivore, functional connectivity through natal dispersal corresponds to structural connectivity as modeled by a second-order RSF. Mapping of the adult-based habitat classes provides direct visualization of the potential linkages between populations, without the need to model paths between a priori starting and destination points. The use of such landscape scale RSFs may provide insight into predicting suitable dispersal habitat peninsulas in human-dominated landscapes where mitigation of human–wildlife conflict should be focused. We recommend the use of second-order RSFs for landscape conservation planning and propose a similar approach to the conservation of other wide-ranging large carnivore species where landscape-scale resource selection data already exist.
Data from: Genome-wide association study for tobiano spotting coat color in Korean Jeju × Thoroughbred horse population
Korean Jeju horse features a small to medium frame size and stature having varieties of coat colors including grey, milky, spotted and bay1. Crossbreeding with Thoroughbred has been a long tradition in Korea to have intermediate frame size horse suitable for racing, leisure activities and meat production2. Tobiano white-spotting pattern is preferred by many horse breeders and owners which is inherited as an autosomal dominant trait1,3. Polymorphisms in proto-oncogene receptor tyrosine kinase (KIT) gene were strongly associated with tobiano and sabino coat color pattern in American and European horse breeds3,5. In addition, ECA3 inversion locus near KIT gene also significantly associated with tobiano spotting pattern in horses4,5. Here, we report SNPs and harbored genes associated with tobiano coat color in a crossbred horse population through genome-wide SNP association analysis. In this study, coat color patterns of 142 crossbred horses (Jeju indigenous horse × Thoroughbred) were verified according to previously described methods3,5 and coded as "0" or "1" (Figure S1). Genomic DNA was extracted from blood samples using DNeasy 96 blood DNA extraction Kit (QIAGEN, USA). Genotyping was performed using Equine SNP 50K BeadChip (Illumina, San Diego, USA) at AGBD, NIAS, Korea. A total of 45,204 SNPs passed the set quality control criteria as minor allele frequency (MAF<0.01), missing genotype (GENO>0.10) and Hardy-Weinberg equilibrium (HWE<0.0001) in 142 individuals. Finally, a set of 16,223 independent SNPs were generated through –indep –pairwise 25 5 0.25 pruning6. Genome wide association study revealed 18 Bonferroni adjusted SNPs located on chromosome 3 (ECA3) significantly associated with tobiano coat color in the studied population (Figure 1, Table S1). These SNPs broadly plotted on 40 Mbp region (from 39 to 79 Mbp) of ECA3 which might be due to high LD among the significant SNPs. The most significant association was found between ECA3 inversion locus (77657979 bp) and tobiano pattern (P< 5.56×10-17) while the second highest association was detected with SNP rs68555258 (48853535 bp; P< 4.04×10-12, Table S1). Apart from this, genotypes of ECA3 inversion locus by pyrosequencing matched perfectly in our study (Table S2). All tobiano horses (n = 37) were heterozygous for inversion locus (+/To) while solid-colored horses (n = 103) were homozygous (+/+). ECA3 inversion is located 70 kbp downstream from KIT gene which possessed causal variants for tobiano pattern in horse5,6. The Biomart and Variant Effect Predictor tools in Ensembl Genome Browser (http://www.ensembl.org/index.html) identified several significant SNPs harboring genes of which GPRIN3, ARHGAP24, SCFD2, RASSL11B and WDFY3 are noticeable (Table S3). Based on our genome wide association and inversion locus genotyping results, it is suggested that ECA3 inversion locus variant is either causative or completely linked with causative variants for tobiano coat color in this crossbred horse population. Moreover, a set of putative mutations in other genes might be in high LD with causative variants that could be explored for functional annotations associated with tobiano coat color pattern in horse population.
Figure 1 from: Hemp C, Heller K, Warchalowska-Sliwa E, Hemp A (2016) Spotted males, uniform females and the lowest chromosome number in Tettigoniids recorded: Review of the genus Gonatoxia Karsch (Orthoptera, Phaneropterinae). Deutsche Entomologische Zeitschrift 63(2): 271-286. https://doi.org/10.3897/dez.63.10799
Figure 1 - Lateral view on ovipositor of female Dapanera sp. Uganda (NHML).
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.