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100 results for “correlated models”
Data from: Correlative changes in life history variables in response to environmental change in a model organism
Global change alters the environment, including increases in the frequency of (un)favorable events and shifts in environmental noise color. However, how these changes impact the dynamics of populations, and whether these can be predicted accurately has been largely unexamined. Here we combine recently developed population modeling approaches and theory in stochastic demography to explore how life history, morphology, and average fitness respond to changes in the frequency of favorable environmental conditions and in the color of environmental noise in a model organism (an acarid mite). We predict that different life-history variables respond correlatively to changes in the environment, and we identify different life-history variables, including lifetime reproductive success, as indicators of average fitness and life-history speed across stochastic environments. Depending on the shape of adult survival rate, generation time can be used as an indicator of the response of populations to stochastic change, as in the deterministic case. This work is a useful step toward understanding population dynamics in stochastic environments, including how stochastic change may shape the evolution of life histories.
Estimating correlations among demographic parameters in population models
<p>Estimating correlations among demographic parameters is critical to understanding population dynamics and life-history evolution, where correlations among parameters can inform our understanding of life-history trade-offs, result in effective applied conservation actions, and shed light on evolutionary ecology. The most common approaches rely on the multivariate normal distribution, and its conjugate inverse Wishart prior distribtion. However, the inverse Wishart prior for the covariance matrix of multivariate normal distributions has a strong influence on posterior distributions. As an alternative to the inverse Wishart distribution, we individually parameterize the covariance matrix of a multivariate normal distribution to accurately estimate variances (σ<sup>2</sup>) of, and process correlations (ρ) between, demographic parameters. We evaluate this approach using simulated capture-mark-recapture data. We then use this method to examine process correlations between adult and juvenile survival of black brent marked on the Yukon-Kuskokwim River Delta, Alaska (1988-2014). Our parameterization consistently outperformed the conjugate inverse Wishart prior for simulated data, where the means of posterior distributions estimated using an inverse Wishart prior were substantially different from the values used to simulate the data. Brent adult and juvenile annual apparent survival rates were strongly positively correlated (ρ = 0.563, 95% CRI 0.181 − 0.823), suggesting that habitat conditions have significant effects on both adult and juvenile survival. We provide robust simulation tools, and our methods can readily be expanded for use in other capture-recapture or capture-recovery frameworks. Further, our work reveals limits on the utility of these approaches when study duration or sample sizes are small.</p>
Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
A variety of mouse models have been developed that express mutant huntingtin (mHTT) leading to aggregates and inclusions that model the molecular pathology observed in Huntington's disease. Here we show that although homozygous HdhQ150 knock-in mice developed motor impairments (rotarod, locomotor activity, grip strength) by 36 weeks of age, cognitive dysfunction (swimming T maze, fear conditioning, odor discrimination, social interaction) was not evident by 94 weeks. Concomitant to behavioral assessments, T2-weighted MRI volume measurements indicated a slower striatal growth with a significant difference between wild type (WT) and HdhQ150 mice being present even at 15 weeks. Indeed, MRI indicated significant volumetric changes prior to the emergence of the "clinical horizon" of motor impairments at 36 weeks of age. A striatal decrease of 27% was observed over 94 weeks with cortex (12%) and hippocampus (21%) also indicating significant atrophy. A hypothesis-free analysis using tensor-based morphometry highlighted further regions undergoing atrophy by contrasting brain growth and regional neurodegeneration. Histology revealed the widespread presence of mHTT aggregates and cellular inclusions. However, there was little evidence of correlations between these outcome measures, potentially indicating that other factors are important in the causal cascade linking the molecular pathology to the emergence of behavioral impairments. In conclusion, the HdhQ150 mouse model replicates many aspects of the human condition, including an extended pre-manifest period prior to the emergence of motor impairments.
Data for "Development and Evaluation of a New Correlated K-distribution Scheme for BCC_RAD Radiative Transfer Model"
<p>Data and matlab scripts for plotting.</p>
Data files for "Stripe correlations in the two-dimensional Hubbard-Holstein model" by S. Karakuzu et al.
<p>Data files for the manuscript "Stripe correlations in the two-dimensional Hubbard-Holstein model" by S. Karakuzu et al. To appear in Communications Physics. Preprint available at https://arxiv.org/abs/2205.15464 (2022).</p> <p>This work was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Award Number<br> DE-SC0022311.</p>
Data from: Correlations of behavioral deficits with brain pathology assessed through longitudinal MRI and histopathology in the HDHQ150/Q150 mouse model of Huntington's disease
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Estimating correlations among demographic parameters in population models
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Data from: Correlative changes in life history variables in response to environmental change in a model organism
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Data from: Establishment of the falling film evaporation model and correlation of the overall heat transfer coefficient
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Human-correlated genetic HCC models identify combination therapy for precision medicine
GEO Series GSE273806. Mus musculus. 187 samples. Type: Expression profiling by high throughput sequencing.
Intra-subject correlation of brain and blood gene patterns in a mouse model of depression
GEO Series GSE72262. Mus musculus. 48 samples. Type: Expression profiling by array.
Transcriptional Correlates of Tolerance and Lethality from Mouse Models Predict Ebola Virus Disease Outcome
GEO Series GSE130629. Mus musculus. 729 samples. Type: Expression profiling by high throughput sequencing.
Human-correlated genetic HCC organoid models identify combination therapy for precision medicine
GEO Series GSE275443. Mus musculus. 10 samples. Type: Expression profiling by high throughput sequencing.
Unravelling Stargardt Disease (STGD1): Modelling Genotype-Phenotype Correlations and Unresolved Genetic Variants in iPSC-Derived Retinal Organoids
GEO Series GSE236097. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
NBL1 Correlates with Renal Phenotypes in Mouse Models of Kidney Disease, but is not Causal: Male Nbl1 HET or WT Mice Treated with Cisplatin or PBS
GEO Series GSE310628. Mus musculus. 31 samples. Type: Expression profiling by high throughput sequencing.
NBL1 Correlates with Renal Phenotypes in Mouse Models of Kidney Disease, but is not Causal: Male Mice with XLAS either HET or WT for Nbl1
GEO Series GSE310901. Mus musculus. 24 samples. Type: Expression profiling by high throughput sequencing.
Loss of Ikaros tumor suppressor function in a mouse model of BCR-ABL1-induced B-ALL correlates with a developmental block at a highly proliferative stage
GEO Series GSE39160. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Decrease of Parkin and CD36 expression and body weight correlate with an increase of non-esterified fatty acids in a mouse model for TDP-43 pathology
GEO Series GSE39585. Mus musculus. 20 samples. Type: Expression profiling by array.
Multi-omic brain and behavioral correlates of cell-free fetal DNA methylation in macaque maternal obesity models
GEO Series GSE171064. Macaca mulatta. 169 samples. Type: Methylation profiling by high throughput sequencing.
Cardiac Fibrosis in Dilated Cardiomyopathy: Transcriptomics Insights, Histological Correlations, and Organoid Model Verifications [RNA-seq II]
GEO Series GSE246298. Homo sapiens. 9 samples. Type: Expression profiling by high throughput sequencing.
ScienceDex guides
Understand access before you commit
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.