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491 results for “population modelling”

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dryad36/100

Is my model fit for purpose? Validating a population model for predicting freshwater fish responses to flow management

<p>Models based on ecological processes ("process-explicit models") are often used to predict ecosystem responses to environmental changes or management scenarios. However, models are imperfect and need to be validated, ideally by testing their assumptions and outputs against independent empirical data sets. Examples of validation of process-explicit models are rare. Recently, stochastic population models have been developed to predict the likely responses (over 10-120 years) of a riverine fish (golden perch, Macquaria ambigua) to flow management in the Murray-Darling Basin (MDB) in eastern Australia, one of the world's most regulated river basins. Declines of golden perch (and other species) are a direct consequence of altered hydrology, and managers require information to predict how fish will respond to possible future hydrological conditions to guide the substantial investments in flow management. Here, we use two independent field data sets to validate our population model. We compared model predictions to observed trends to ask: (1) how do predicted population sizes and growth rates compare to observed data? (2) does the correlation between predicted and observed population sizes and growth rates vary among populations? (3) does the correlation between predicted and observed population sizes and growth rates vary across observed hydrological conditions? and (4) how do modelled and observed fish movement rates compare? We found reasonable correlations between fish population sizes and growth rates as predicted by the model and observed in independent data sets for several populations (Aim 1) but the strength of these correlations varied among populations (Aim 2) and hydrological conditions (Aim 3). Predicted and observed fish movement rates were strongly correlated (Aim 4). Population models are frequently used in conservation decision-making but are rarely validated. We demonstrate that: (1) validation can identify model strengths and weaknesses; (2) observed data sets often have inherent limitations that can preclude robust validations; (3) validation is likely be more common if appropriate observed data sets are available; and (4) validation should consider the purpose of modelling. Wider consideration of these messages would contribute to more critical examinations of models so they can be most appropriately used in conservation decision-making.</p>

opencc-zeroJul 2023View details →
ClinicalTrials.gov36/100

Clinical Investigation of New CI Delivery Models in an Adult Nucleus CI Population

ClinicalTrials.gov study NCT03304106. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad36/100

Data from: Recommendations for population and individual diagnostic SNP selection in non-model species

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publicDec 2024View details →
dryad36/100

Data from: A hierarchical population model for the estimation of latent prey abundance and demographic rates of a nomadic predator

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publicJun 2025View details →
dryad36/100

Revisiting the number of self‐incompatibility alleles in finite populations: From old models to new results

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publicJun 2024View details →
dryad36/100

Open-population SCR model to estimate spatiotemporal variation in individual birth locations, detection rates, and survival

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publicMar 2023View details →
dryad36/100

Demography of marine birds in the Northeast Atlantic: informed parameter values for population modelling

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publicOct 2025View details →
dryad36/100

Data from: Abundance models of endemic birds of the Sierra Nevada de Santa Marta, northern South America, suggest small population sizes and dependence on montane elevations

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publicFeb 2024View details →
dryad36/100

Data from: The demographic effects of functional traits: an integral projection model approach reveals population-level consequences of reproduction-defense tradeoffs

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publicJun 2019View details →
dryad36/100

Is my model fit for purpose? Validating a population model for predicting freshwater fish responses to flow management

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publicJul 2023View details →
dryad36/100

A big data–model integration approach for predicting epizootics and population recovery in a keystone species

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publicJan 2023View details →
dryad36/100

Counterintuitive scaling between population abundance and local density: implications for modelling transmission of infectious diseases in bat populations

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publicDec 2021View details →
dryad36/100

Estimating wildlife populations and their dynamics using multiple data sources and a hierarchical integrated model: the case of California's black bears

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publicJul 2025View details →
dryad36/100

Data from: Assessing cetacean populations using integrated population models: an example with Cook Inlet beluga whales

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publicMar 2020View details →
dryad36/100

Data from: Phylogeography, population genetics, and distribution modeling reveal vulnerability of Scirpus longii (Cyperaceae) and the Atlantic Coastal Plain Flora to climate change.

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publicDec 2018View details →
dryad36/100

Data from: Testing models of refugial isolation, colonization and population connectivity in two species of montane salamanders

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publicMay 2017View details →
dryad36/100

Code for the population genetic models of the evolution of preference strength

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publicFeb 2023View details →
dryad36/100

Divergence time estimation using ddRAD data and an isolation-with-migration model applied to water vole populations of Arvicola

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publicMar 2022View details →
dryad36/100

Using dynamic foodscape models to assess bottom-up constraints on population performance of herbivores

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publicJan 2025View details →
dryad36/100

Data from: Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements

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publicJan 2018View 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