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39 results for “density rating”

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zenodo32/100

The influence of wet feed distribution on the density, growth rate and growth variability of Tenebrio molitor

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opencc-by-4.0Oct 2024View details →
ClinicalTrials.gov32/100

Vitamin D and Its Affect on Growth Rates and Bone Mineral Density Until Age 5

ClinicalTrials.gov study NCT01419821. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Combined Effects of Energy Density and Eating Rate on Appetite

ClinicalTrials.gov study NCT01406886. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Negative relationships between population density and metabolic rates are not general

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publicMar 2017View details →
dryad32/100

Density dependence only affects increase rates in baleen whale populations at high abundance levels

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publicJul 2024View details →
dryad32/100

Data from: Replicated high-density genetic maps of two great tit populations reveal fine-scale genomic departures from sex-equal recombination rates

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publicSep 2013View details →
dryad32/100

Data from: Relative density and dispersion pattern of two southern African Asteraceae affect fecundity through heterospecific interference and mate availability, not pollinator visitation rate

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publicNov 2015View details →
dryad32/100

Data from: A high-density linkage map enables a second-generation collared flycatcher genome assembly and reveals the patterns of avian recombination rate variation and chromosomal evolution

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publicAug 2014View details →
dryad32/100

Data from: Evolutionary tracking is determined by differential selection on demographic rates and density dependence.

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publicApr 2021View details →
dryad28/100

Data from: Density-dependent space use affects interpretation of camera trap detection rates

<p>Camera-traps (CTs) are an increasingly popular tool for wildlife survey and monitoring. Estimating relative abundance in unmarked species is often done using detection rate as an index of relative abundance, which assumes a positive linear relationship with true abundance. This assumption may be violated if movement behavior varies with density, but the degree to which movement is density-dependent across taxa is unclear. The potential confounding of population-level relative abundance indices by movement depends on how regularly, and by what magnitude, movement rate and home-range size vary with density. We conducted a systematic review and meta-analysis to quantify relationships between movement rate, home range size, and density, across terrestrial mammalian taxa. We then simulated animal movements and CT sampling to test the effect of contrasting movement scenarios on CT detection rates. Overall, movement rate and home range size were negatively correlated with density and positively correlated with one another. The strength of the relationships varied significantly between taxa and populations.  In simulations, detection rates were related to true abundance but underestimated change, particularly for slower moving species with small home ranges. In situations where animal space use changes markedly with density, we estimate that up to thirty percent of a true change in abundance may be missed due to the confounding effect of movement, making trend estimation more difficult. The common assumption that movement remains constant across densities is therefore violated across a wide range of mammal species. When studying unmarked species using CT detection rates, researchers and managers should consider that such indices of relative abundance reflect both density and movement. Practitioners interpreting changes in detection rates should be aware that observed differences may be biased low relative to true changes in abundance, and that further information on animal movement may be required to make robust inferences on population trends.</p>

opencc-zeroDec 2019View details →
dryad28/100

Data for: Density dependence and spatial heterogeneity limit the population growth rate of invasive pines at the landscape scale

<p class="MsoBodyText"><span><span><span><span><span><span><span><span><span><span><span>Determining population growth across large scales is difficult because it is often impractical to collect data at large scales and over long timespans. Instead, the growth of a population is often only measured at a small, plot-level scale and then extrapolated to derive a mean field estimate. However, this approach is prone to error since it simplifies spatial processes such as the neighbourhood effects of density and dispersal. We present a novel approach that estimates how spatial processes derived from the effects of density and dispersal affect population growth between plot scales and landscape scales. The method is based on a scale transition theory and calculates a transition term to measure the spatial scaling of population growth, which we extend to unstable, expanding populations in order to assess whether landscape-scale population dynamics are different from those estimated at smaller spatial scales. We illustrate this approach using aerial imagery of eight locations in New Zealand experiencing non-native pine invasions. Analyses examined the dynamics at a plot scale (1 hectare) and compared this to estimates across entire landscapes (between 24 and 1600 hectares), in several cases for more than one time period. We used a Bayesian spatial random effects model to examine population growth and to account for neighbourhood effects and dispersal between plots in a rapidly changing system. </span></span></span></span></span></span></span></span></span></span></span></p> <p class="MsoBodyText"><span><span><span><span><span><span><span><span><span><span><span>We found that the estimates of the scale transition term were typically 10-25% of the mean field estimates, which led to mean field estimates of population growth extrapolated from plots being considerably higher than landscape estimates. The approach we have developed will not only have applications for predicting the populations' growth of invasive species, but also for studies examining the scaling of landscape-scale phenomena.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroJun 2021View details →
zenodo28/100

Figure 4 in Parasitism rate of Plutella xylostella (Lepidoptera: Plutellidae) larvae in greenhouse by Tetrastichus howardi (Hymenoptera: Eulophidae) females at different densities

Figure 4. Sex ratio (number of females/(number of females + number of males)) of Tetrastichus howardi (Hymenoptera: Eulophidae) with different numbers of females per pupa of Plutella xylostella.

opencc-by-4.0Dec 2022View details →
zenodo28/100

Figure 1 in Parasitism rate of Plutella xylostella (Lepidoptera: Plutellidae) larvae in greenhouse by Tetrastichus howardi (Hymenoptera: Eulophidae) females at different densities

Figure 1. Parasitism percentage of fourth instar Plutella xylostella (Lepidoptera: Plutellidae) caterpillars by Tetrastichus howardi (Hymenoptera: Eulophidae) females at different densities in semi-field conditions.

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

Data from: Density-dependent space use affects interpretation of camera trap detection rates

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publicNov 2020View details →
dryad28/100

Data for: Density dependence and spatial heterogeneity limit the population growth rate of invasive pines at the landscape scale

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publicJun 2021View details →
ClinicalTrials.gov24/100

Comparison of Detection Rates Between Two Commonly Used Bone Density Measurement Methods

ClinicalTrials.gov study NCT06299865. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Microfluidic Chip vs Density Gradient Centrifugation on the Euploidy Rate of Pre-implantation Genetic Testing

ClinicalTrials.gov study NCT06023472. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Phase 4, Double-blind Study Evaluating the Response on Computed Tomography (CT) Lung Density Decline Rates of Respreeza / Zemaira Weekly for 3 Years in Adults With alpha1 Antitrypsin Deficiency (AATD)

ClinicalTrials.gov study NCT07326592. IPD Sharing: YES. Countries: 0. Publications: 0.

controlledIPD-YESFeb 2026View details →
geo20/100

Endogenous overexpression of Poplar MYB186 increases trichome density, improves growth rate and insect pest resistance

GEO Series GSE21061. Populus sp.; Populus tremula x Populus alba. 6 samples. Type: Expression profiling by array.

openGEO-OpenSep 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