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128 results for “model fit”

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ClinicalTrials.gov32/100

PARK-FIT. Treadmill vs Cycling in Parkinson´s Disease. Definition of the Most Effective Model in Gait Reeducation

ClinicalTrials.gov study NCT04194762. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Evaluating the Clinical Effectiveness of a Community-based Hearing Aid Fitting Service Delivery Model Facilitated by Community Healthcare Workers (CHWs) Providing Smartphone-based In-situ and Pre-set

ClinicalTrials.gov study NCT06982716. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
dryad32/100

Data from: Estimating the relative fitness of escaped farmed salmon offspring in the wild and modeling the consequences of invasion for wild populations

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publicNov 2018View details →
dryad32/100

Data from: Successful by chance? the power of mixed models and neutral simulations for the detection of individual fixed heterogeneity in fitness components

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publicAug 2015View details →
dryad32/100

Data from: Is plant fitness proportional to seed set? An experiment and a spatial model

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publicJun 2017View details →
dryad32/100

Data from: Assessing the dynamics of natural populations by fitting individual based models with approximate Bayesian computation

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publicDec 2018View details →
dryad32/100

Data from: Are pollination "syndromes" predictive? Asian dalechampia fit neotropical models

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publicMar 2011View details →
dryad32/100

Fitting and evaluating univariate and multivariate models of within-lineage evolution

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publicMar 2023View details →
dryad32/100

R code from: Diagnosing common sources of lack of fit to composition data in fisheries stock assessment models using One-Step-Ahead (OSA) residuals

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publicOct 2025View details →
dryad32/100

Data from: Does one model fit all? patterns of beech mortality in natural forests of three European regions

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publicJun 2016View details →
dryad32/100

Data from: Genomic evidence of genetic variation with pleiotropic effects on caterpillar fitness and plant traits in a model legume

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publicApr 2019View details →
dryad32/100

Data from: Heterogeneity in genetic diversity among non-coding loci fails to fit neutral coalescent models of population history

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publicMar 2012View details →
dryad32/100

Data from: Integrated species distribution models fitted in INLA are sensitive to mesh parameterisation

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publicApr 2023View details →
dryad32/100

Data from: Identifying 'useful' fitness models: balancing the benefits of added complexity with realistic data requirements in models of individual plant fitness

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publicDec 2020View details →
dryad32/100

Learning protein fitness models from evolutionary and assay-labeled data

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publicDec 2021View details →
zenodo28/100

data from "The chloroplast land plant phylogeny: analyses employing better-fitting tree- and site-heterogeneous composition models"

<p>The nucleotide, codon-degenerate and protein concatenated alignments of 83 chloroplast genes, with the respective character sets, in nexus format.</p>

opencc-by-4.0Jun 2020View details →
dryad28/100

Data from: Selection, genome-wide fitness effects and evolutionary rates in the model legume Medicago truncatula

Sequence data for &gt;20 000 annotated genes from 56 accessions of Medicago truncatula were used to identify potential targets of positive selection, the determinants of evolutionary rate variation and the relative importance of positive and purifying selection in shaping nucleotide diversity. Based upon patterns of intraspecific diversity and interspecific divergence, c. 50–75% of nonsynonymous polymorphisms are subject to strong purifying selection and 1% of the sampled genes harbour a signature of positive selection. Combining polymorphism with expression data, we estimated the distribution of fitness effects and found that the proportion of deleterious mutations is significantly greater for expressed genes than for genes with undetected transcripts (nonexpressed) in a previous RNA-seq experiment and greater for broadly expressed genes than those expressed in only a single tissue. Expression level is the strongest correlate of evolutionary rates at nonsynonymous sites, and despite multiple genomic features being significantly correlated with evolutionary rates, they explain less than 20% of the variation in nonsynonymous rates (dN) and &lt;15% of the variation in either synonymous rates (dS) or dN:dS. Among putative targets of selection were genes involved in defence against pathogens and herbivores, genes with roles in mediating the relationship with rhizobial symbionts and one-third of annotated histone-lysine methyltransferases. Adaptive evolution of the methyltransferases suggests that positive selection in gene expression may have occurred through evolution of enzymes involved in epigenetic modification.

opencc-zeroDec 2012View details →
dryad28/100

Data from: Modeling and quantifying frequency-dependent fitness in microbial populations with cross-feeding interactions

Coexistence of two or more populations by frequency-dependent selection is common in nature, and it often arises even in well-mixed experiments with microbes. If ecology is to be incorporated into models of population genetics, then it is important to represent accurately the functional form of frequency-dependent interactions. However, measuring this functional form is problematic for traditional fitness assays, which assume a constant fitness difference between competitors over the course of an assay. Here, we present a theoretical framework for measuring the functional form of frequency-dependent fitness by accounting for changes in abundance and relative fitness during a competition assay. Using two examples of ecological coexistence that arose in a long-term evolution experiment with Escherichia coli, we illustrate accurate quantification of the functional form of frequency-dependent relative fitness. Using a Monod-type model of growth dynamics, we show that two ecotypes in a typical cross-feeding interaction—such as when one bacterial population uses a byproduct generated by another—yields relative fitness that is linear with relative frequency.

opencc-zeroDec 2014View details →
dryad28/100

Data from: Patterns of male fitness conform to predictions of evolutionary models of late-life

We studied lifetime male virility, a male fitness component, in five populations of Drosophila melanogaster. Virility was measured as the number of females, out of eight total, that a male could fertilize in 24 hours. Individual males were measured at weekly intervals until they died. Virility declined in an approximately linear fashion for the first three weeks of adult life. It then stayed low but relatively constant for another three weeks, exhibiting a clear plateau. These observations are consistent with the evolutionary theories of late-life.The results were not consistent with a simple heterogeneity theory of late-life. This is the first demonstration of a late-life plateau for a male fitness component. We also found that the virility of males that were within seven days of death was significantly lower than similarly aged males that were not about to die. This rapid deterioration of virility prior to death, or death spiral, is similar to a decline in fecundity that we had previously documented.

opencc-zeroDec 2011View details →
dryad28/100

Data from: The fitness of drug-resistant malaria parasites in a rodent model: multiplicity of infection

Malaria infections normally consist of more than one clonally-replicating lineage. Within-host interactions between sensitive and resistant parasites can have profound effects on the evolution of drug resistance. Here, using the Plasmodium chabaudi mouse malaria model, we ask whether the costs and benefits of resistance are affected by the number of co-infecting strains competing with a resistant clone. We found strong competitive suppression of resistant parasites in untreated infections and marked competitive release following treatment. The magnitude of competitive suppression depended on competitor identity. However, there was no overall effect of the diversity of susceptible parasites on the extent of competitive suppression or release. If these findings generalize, then transmission intensity will impact on resistance evolution because of its effect on the frequency of mixed infections, not because of its effect on the distribution of clones per host. This would greatly simplify the computational problems of adequately capturing within-host ecology in models of drug resistance evolution in malaria.

opencc-zeroDec 2010View 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
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
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