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72 results for “individual heterogeneity”

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dryad28/100

Data from: Lifetime fitness in wild baboons: tradeoffs and individual heterogeneity in quality

Understanding the evolution of life histories requires information on how life histories vary among individuals, and how such variation predicts individual fitness. Using complete life histories for females in a well-studied population of wild baboons, we tested two non-exclusive hypotheses about the relationships among survival, reproduction, and fitness: the quality hypothesis, which predicts positive correlations between life history traits, mediated by variation in resource acquisition, and the tradeoff hypothesis, which predicts negative correlations between life history traits, mediated by tradeoffs in resource allocation. In support of the quality hypothesis, we found that females with higher rates of offspring survival were themselves better at surviving. Further, after statistically controlling for variation in female quality, we found evidence for two types of tradeoffs: females who produced surviving offspring at a slower rate had longer lifespans than those who produced surviving offspring at a faster rate, and females who produced surviving offspring at a slower rate had a higher overall proportion of offspring survive infancy than females who produced surviving offspring at a faster rate. Importantly, these tradeoffs were evident even when accounting for: (i) the influence of offspring survival on maternal birth rate, (ii) the dependence of offspring survival on maternal survival, and (iii) potential age-related changes in birth rate and/or offspring survival. Our results shed light on why tradeoffs are evident in some populations, while variation in individual quality masks tradeoffs in others.

opencc-zeroJul 2019View details →
zenodo28/100

Unveiling Heterogeneity in Individual Thresholds: Validation Using Urinary Prostaglandin D2 Metabolite in Food Allergy Reactions

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opencc-by-4.0Dec 2023View details →
zenodo28/100

Datasets for "Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population"

<p>Datasets used as examples in &quot;<strong>Learning Anisotropic Interaction Rules from Individual Trajectories in a Heterogeneous Cellular Population</strong>&quot;, DA Messenger, GE Wheeler, X&nbsp;Liu DM Bortz, arXiv:2204.14141, 2022.&nbsp;</p> <p>Code:&nbsp;<a href="https://github.com/MathBioCU/WSINDy_CellCluster">https://github.com/MathBioCU/WSINDy_CellCluster</a></p> <p>Download code and run&nbsp;<strong>visualize_trajectories.m ,&nbsp;</strong>changing file in line 5 accordingly.</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2022View details →
dryad28/100

Data from: An integrated assessment model of seabird population dynamics: can individual heterogeneity in susceptibility to fishing explain abundance trends in Crozet wandering albatross?

1. Seabirds have been incidentally caught in distant-water longline fleets operating in the Southern Ocean since at least the 1970s, and breeding numbers for some populations have shown marked trends of decline and recovery concomitant with longline fishing effort within their distributions. However, lacking is an understanding of how forms of among-individual heterogeneity may interact with fisheries bycatch and influence population dynamics. 2. We develop a model that uses comprehensive data on the spatial and temporal distributions of fishing effort and seabird foraging to estimate temporal overlaps, fishery catchability and consequent bycatch. We apply a population model that is structured by age, sex, life stage and spatially to Crozet Island wandering albatross and explore how heterogeneity in susceptibility to capture may have influenced the population's demography over time. 3. A model where some birds were assumed to be more susceptible to fisheries bycatch was able to successfully replicate the observed trend in breeding pairs. Considerably poorer fits were found without this assumption. Results suggested that the more susceptible birds may have been removed from the population by the 1990s. 4. The model was also able to highlight areas, times and fleets prone to increased bycatch. Knowledge of these factors should assist fisheries and conservation management bodies to quantify and reduce seabird bycatch through spatial management and fleet-specific mitigation efforts. 5. Synthesis and application. Many seabirds show complex life histories that make them highly susceptible to additional incidental mortality from fishing vessels. By applying a population model that integrates key aspects of seabird and fishery dynamics, we were able to explain the observed trends in the breeding population of Crozet wandering albatross and identify key areas and fleets where further mitigation may be required. In addition, the potential removal of a category of birds that shows increased susceptibility to capture has important implications for the conservation management of this population and other iconic species incidentally caught by large-scale commercial fisheries.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Quantifying individual heterogeneity and its influence on life-history trajectories: different methods for different questions and contexts

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publicSep 2017View details →
dryad28/100

Data from: Sex-specific heterogeneity in fixed morphological traits influences individual fitness in a monogamous bird population

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publicJul 2017View details →
dryad28/100

Data from: An integrated assessment model of seabird population dynamics: can individual heterogeneity in susceptibility to fishing explain abundance trends in Crozet wandering albatross?

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publicApr 2016View details →
dryad28/100

Data from: Evidence of reduced individual heterogeneity in adult survival of long-lived species

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publicOct 2016View details →
dryad28/100

Data from: Lifetime fitness in wild baboons: tradeoffs and individual heterogeneity in quality

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publicJul 2019View details →
dryad28/100

Data from: Demographic variability and heterogeneity among individuals within and among clonal bacteria strains

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publicDec 2017View details →
dryad28/100

Data from: The importance of individual heterogeneity for interpreting faecal glucocorticoid metabolite levels in wildlife studies

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publicFeb 2019View details →
dryad28/100

Data from: Heterogeneity in individual quality and reproductive trade-offs within species

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publicApr 2014View details →
geo24/100

Intra-individual tumoral heterogeneity of ovarian serous adenocarcinomas

GEO Series GSE85296. Homo sapiens. 45 samples. Type: Methylation profiling by genome tiling array; Genome variation profiling by genome tiling array.

openGEO-OpenAug 2016View details →
geo24/100

Dormancy heterogeneity among Arabidopsis thaliana seeds is linked to individual seed size

GEO Series GSE203310. Arabidopsis thaliana. 13 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
geo24/100

Single-cell sequencing of individual retinal organoids reveals determinants of cell fate heterogeneity

GEO Series GSE220661. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2022View details →
geo24/100

DNA methylation alterations exhibit striking intra-individual stability and inter-individual heterogeneity across metastatic dissemination

GEO Series GSE38242. Homo sapiens. 249 samples. Type: Methylation profiling by genome tiling array; Expression profiling by array; Methylation profiling by SNP array.

openGEO-OpenFeb 2013View details →
geo24/100

Single-cell analysis of childhood leukemia reveals a link between developmental states and ribosomal protein expression as a source of intra-individual heterogeneity

GEO Series GSE132509. Homo sapiens. 11 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2020View details →
geo24/100

Intra-individual genomic heterogeneity of ovarian serous adenocarcinoma [Agilent]

GEO Series GSE85295. Homo sapiens. 29 samples. Type: Genome variation profiling by genome tiling array.

openGEO-OpenAug 2016View details →
geo24/100

Intra-individual tumoral heterogeneity of ovarian serous adenocarcinomas [Illumina]

GEO Series GSE85293. Homo sapiens. 16 samples. Type: Methylation profiling by genome tiling array.

openGEO-OpenAug 2016View details →
geo24/100

A single-cell method to map higher-order 3D genome organization in thousands of individual cells reveals structural heterogeneity in mouse ES cells

GEO Series GSE154353. Mus musculus; Homo sapiens. 3 samples. Type: Other.

openGEO-OpenAug 2020View details →

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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.

allen-brain-atlas
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Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record