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184 results for “variability analysis”
Text-fig. 8. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83) with variables M1 (GOL) and M45 (ZYB). As the closest to the Moča skull, the following fossil samples from Mesolithic could be identified: Vlasac, Arruda 2, Moita 16, Moita 17, Téviec 2, Téviec 3. in A Late Upper Palaeolithic Skull From Moča (The Slovak Republic) In The Context Of Central Europe
Text-fig. 8. Sex estimation of Moča skull (Komárno district, southern Slovakia), linear discriminant analysis using Henke's Late Upper Palaeolithic and Mesolithic database (n = 129, f = 46, m = 83) with variables M1 (GOL) and M45 (ZYB). As the closest to the Moča skull, the following fossil samples from Mesolithic could be identified: Vlasac, Arruda 2, Moita 16, Moita 17, Téviec 2, Téviec 3.
Table ¹: Model performance in relation to predictor variables combinations and MaxEnt parameters for the two best models identified in our analysis. in Understanding habitat suitability and road mortality for the conservation of the striped hyaena (Hyaena hyaena) in Batna (East Algeria)
<p><b>Table ¹:</b> Model performance in relation to predictor variables combinations and MaxEnt parameters for the two best models identified in our analysis.</p><table><tbody><tr><th><b>Prediction set</b></th><th><b>FC</b></th><th><b>RM</b></th><th><b>P</b> <b>ROC</b></th><th><b>OR</b></th><th><b>AICc</b></th><th><b>ΔAICc</b></th><th><b>WAICc</b></th><th><b>Number of parameters**</b></th></tr></tbody><tbody><tr><th>313</th><td>lqp</td><td>0.7</td><td>0</td><td>0</td><td>752.875</td><td>1.226</td><td>0.0337</td><td>10</td></tr><tr><th>314*</th><td>lqp</td><td>1</td><td>0</td><td>0</td><td>751.649</td><td>0.000</td><td>0.057</td><td>7</td></tr></tbody></table><p>The selected model set (*) met the statistical significance and omission rate criteria during evaluation with train and test data.**Number of environmental variables. FC, feature class; RM, regularization multiplier; OR = omission rate; ΔAICc, Akaike information criterion corrected for small simple sizes; WAICc, weighted AICc.</p>
Data from: Understanding the genomic basis of adaptive response to variable osmotic niches in freshwater prawns: a comparative intraspecific RNA-Seq analysis of Macrobrachium australiense
Understanding the molecular basis of adaptive response to variable environmental conditions is a central goal of evolutionary biology. Here we sought to identify potential outlier SNPs (single nucleotide polymorphisms) in three wild populations of a freshwater prawn (Macrobrachium australiense) that are exposed to differing osmotic niches by using a comparative transcriptomics approach. De novo assembly of approximately 542 million (75 nt) pair end reads collected from 10 individuals revealed 123,396 longer contigs/transcripts of variable length, that showed 97.38% transcriptome assembly completeness. Differential gene expression (DGE) analysis of major osmoregulatory genes revealed that Calreticulin, Na+/H+ exchanger and V-type (H+) ATPase showed the highest expression levels in the Blunder Creek (low ionic) population, while Crustacean cardiovascular peptide (CCP), Na+/K+-ATPase, Na+/K+/2Cl- Co-transporter (NKCC) and Na+/HCO3 exchanger showed the highest expression levels in the Bulimba Creek (higher ionic) population. In total, 16 gene ontology (GO) term categories were functionally enriched among the three studied populations. We identified 4144 raw and 835 high quality filtered SNPs in the three M. australiense populations, of which 84 SNPs were identified as outliers. Outliers were detected in 4 important osmoregulatory genes that include: Calreticulin, Na+/H+ exchanger, Na+/K+-ATPase and V-type-(H+)-ATPase. All outliers in the osmoregulatory genes were located in non-coding regulatory regions (untranslated regions, UTRs) of the gene. We hypothesize that the outlier SNPs identified here in M. australiense populations exposed naturally to different osmotic conditions influence specific gene expression patterns that allow individuals to respond to local environmental conditions.
Time-Dynamic Analysis of Gait Variability in Children With Spastic Cerebral Palsy ( SCP-TIME )
ClinicalTrials.gov study NCT07316985. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Breathing frequency bias in fractal analysis of heart rate variability
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Data from: Meta-analysis of variance: an illustration comparing the effects of two dietary interventions on variability in weight
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Data from: Statistical analysis of the individual variability of 1D protein profiles as a tool in ecology: an application to parasitoid venom
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Data from: High throughput method for analysis of repeat number for 28 phase variable loci of Campylobacter jejuni strain NCTC11168
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Data from: Understanding the genomic basis of adaptive response to variable osmotic niches in freshwater prawns: a comparative intraspecific RNA-Seq analysis of Macrobrachium australiense
Open the record for dataset details and reuse information.
Serum-based culture conditions provoke gene expression variability in mouse embryonic stem cells as revealed by single cell analysis
GEO Series GSE75804. Mus musculus. 96 samples. Type: Expression profiling by high throughput sequencing.
Expression analysis of the Theileria parva subtelomere-encoded variable secreted protein gene family
GEO Series GSE14093. Theileria parva; Theileria parva strain Muguga. 3 samples. Type: Expression profiling by array.
Gene expression analysis to identify Myc-regulated long noncoding RNAs in B cells with variable Myc levels
GEO Series GSE59477. Homo sapiens. 8 samples. Type: Expression profiling by array; Non-coding RNA profiling by array.
Small RNA-seq analysis of circulating miRNAs to identify phenotypic variability in Friedreich's ataxia patients
GEO Series GSE105052. Homo sapiens. 42 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Variability vs. phenotype: Multimodal analysis of Dravet syndrome brain organoids powered by deep learning
GEO Series GSE256142. Homo sapiens. 18 samples. Type: Expression profiling by high throughput sequencing.
Analysis of sub-kilobase chromatin topology reveals nano-scale regulatory interactions with variable dependence on cohesin and CTCF
GEO Series GSE181694. Mus musculus. 25 samples. Type: Other.
Analysis of Thermosynechococcus elongatus BP1 and Meiothermus ruber strain A co-cultured under variable light and oxygen conditions
GEO Series GSE93859. Thermosynechococcus vestitus BP-1; Meiothermus ruber. 12 samples. Type: Expression profiling by high throughput sequencing.
Response and explanatory variables used in regression analysis
<p>The slow-paced life history of many Neotropical birds (e.g., high survival and low fecundity) is hypothesized to increase lifetime fitness through investments in self-maintenance over reproduction relative to their temperate counterparts. Molt is a key investment in self-maintenance and is readily shaped by environmental conditions. As such, variation in molt strategies may be a key mechanism underlying life-history trade-offs and adaptation to new environments. Here, we review molt strategies from a diversity of lowland Neotropical landbirds and examine how variation in molt strategies, characterized by differences in molt insertions, timing, extent, and duration contribute to life-history variation and adaptation to diverse ecological conditions. In addition to our synthesis, we present a case study to examine the relationship between home range size and duration of the definitive prebasic molt of a well-studied subset of Amazonian landbirds. Our results suggest a connection between prolonged molt duration and larger home range size of small-to-medium-sized Amazonian landbirds. Our aims were to identify key gaps in our knowledge of Neotropical bird molt, to stimulate further comparative studies into the evolution of molt strategies, and to highlight how variation in molt strategies may be a key mechanism underlying life-history variation across latitudes.</p>
Supplementary material: "Impact analysis of the expansion of new variable renewables on the cost of electricity generation: a case study of Brazil"
<p>Supplementary material of " Impact analysis of the expansion of new variable renewables on the cost of electricity generation: a case study of Brazil"</p>
PD2i Analysis of Heart Rate Variability in Competitive Sports
ClinicalTrials.gov study NCT01249248. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Analysis of New Endoscopic Features and Variable Stiffness in Colonoscopy: Prospective Randomised Trial
ClinicalTrials.gov study NCT03234725. IPD Sharing: NO. Countries: 1. Publications: 0.
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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)
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.