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13 results for “body depth”
Data and analysis from: Body mass, temperature, and depth shape the maximum intrinsic rate of population increase in sharks and rays
<p>An important challenge in ecology is to understand variation in species' maximum intrinsic rate of population increase, 𝑟<sub>𝑚𝑎𝑥</sub>, not least because 𝑟<sub>𝑚𝑎𝑥</sub> underpins our understanding of the limits of fishing, recovery potential, and ultimately extinction risk. Across many vertebrate species, terrestrial and aquatic, body mass and environmental temperature are important correlates of 𝑟<sub>𝑚𝑎𝑥</sub>. In sharks and rays, specifically, 𝑟<sub>𝑚𝑎𝑥</sub> is known be lower in larger species, but also in deep-sea ones.</p> <p>We use an information-theoretic approach that accounts for phylogenetic relatedness to evaluate the relative importance of body mass, temperature and depth on 𝑟<sub>𝑚𝑎𝑥</sub>. We show that both temperature and depth have separate effects on shark and ray 𝑟<sub>𝑚𝑎𝑥</sub> estimates, such that species living in deeper waters have lower 𝑟<sub>𝑚𝑎𝑥</sub>. Furthermore, temperature also correlates with changes in the mass scaling coefficient, suggesting that as body size increases, decreases in 𝑟<sub>𝑚𝑎𝑥</sub> are much steeper for species in warmer waters.</p> <p>These findings suggest that there are (as-yet understood) depth-related processes that limit the maximum rate at which populations can grow in deep sea sharks and rays. While the deep ocean is associated with colder temperatures, other factors that are independent of temperature, such as food availability and physiological constraints, may influence the low 𝑟<sub>𝑚𝑎𝑥</sub> observed in deep sea sharks and rays. Our study lays the foundation for predicting the intrinsic limit of fishing, recovery potential, and extinction risk species based on easily accessible environmental information such as temperature and depth, particularly for data-poor species.</p> <p>This repository contains the data and a minimum working example of the model-fitting process used for the article "Body mass, temperature, and depth shape productivity in sharks and rays", which is currently in press at <em>Ecology and Evolution</em>.</p>
Data and analysis from: Body mass, temperature, and depth shape the maximum intrinsic rate of population increase in sharks and rays
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Depth dependent spatiotemporal dynamics of overwintering pelagic Microcystis in a temperate water body
<p>Supplementary Information for the research article 'Depth dependent spatiotemporal dynamics of overwintering pelagic Microcystis in a temperate water body'.</p>
Data from: The Paleozoic assembly of the holocephalan body plan far preceded post-Cretaceous radiations into the ocean depths
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Data from: Length, body depth, and gape relationships and inference on piscivory among North American centrarchids
Species of Centrarchidae are major components of inland fisheries in much of North America. Thus, information gained from the assessment of interspecies interactions and/or quantifying predator-prey relationships is a useful tool for fisheries managers. Using preserved fish specimens (n = 717) from 20 species of centrarchids, we made measurements of total length (TL), standard length (SL), horizontal gape, and body depth for each individual. We fitted mathematical models that included horizontal gape and body depth as functions of TL and SL, and TL as a function of SL. Linear-regression-model fits were generally good (r2 = 0.764-0.998) for all 20 species, with 61 of 78 possible models having r2 values exceeding 0.90. Horizontal gape–SL (F3,702 = 77.18, P < 0.001) and body depth-SL (F3,702 = 91.79, P < 0.001) ratios differed significantly along a gradient that reflected the species' likelihood of piscivory. Slopes of TL–SL regressions did not vary by species, which enabled development of a generalized TL–SL model for centrarchids. Supplemental analyses supported that morphometric measurements had not been influenced significantly by preservation. Results of this study are useful to fisheries managers involved with understanding species interactions within centrarchid-dominated food webs, which are of high priority in most fisheries-management plans.
FIG. 3. Body depth–standard length relationships among L. fuelleborni, L in Six New Species of Labeotropheus (Cichliformes: Cichlidae) from the Malaŵian Shore of Lake Malaŵi, Africa
FIG. 3. Body depth–standard length relationships among L. fuelleborni, L. trewavasae, and the three new species of Labeotropheus from the southwestern portion of Lake Malaŵi. The ANOVA accompanying these data is in Table 4.
FIG. 6. Body depth–standard length relationships among L. fuelleborni, L. trewavasae, L. chlorosiglos, L in Six New Species of Labeotropheus (Cichliformes: Cichlidae) from the Malaŵian Shore of Lake Malaŵi, Africa
FIG. 6. Body depth–standard length relationships among L. fuelleborni, L. trewavasae, L. chlorosiglos, L. simoneae, and the three new species of Labeotropheus from the northwestern portion of Lake Malaŵi. (A) All seven species; (B) same plot as A, but L. fuelleborni and L. trewavasae are omitted for clarity. The ANOVA accompanying these data is in Table 7.
Propofol Induction Based on Lean Body Weight on the Depth of Anesthesia
ClinicalTrials.gov study NCT06862349. IPD Sharing: NO. Countries: 1. Publications: 4.
The Effect of Propofol Induction Based on Lean Body Weight on the Depth of Anesthesia
ClinicalTrials.gov study NCT06862245. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: Length, body depth, and gape relationships and inference on piscivory among North American centrarchids
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Labeled RGB and depth images for cattle body condition score prediction
<p>This dataset contains a collection of preclassified Criollo cow RGB+depth videos, as well as processed depth, grayscale, and edge images. The dataset was previously used to train convolutional neural networks and vision transformers to estimate body condition scores of cattle, and will be useful to other researchers in need a high quaility visual dataset that incorporates depth for the purposes of three dimensional representations of cattle. The availability of compatible software and image processing packages makes this dataset very robust and applicable to other areas of both agricultural and machine learning research. This dataset has several features that make it a good test of machine learning algorithms such as low sample uniqueness and a slightly subjective metric.</p>
Labeled RGB and depth images for cattle body condition score prediction
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Estimating Umbilical Venous Catheter Insertion Depth in Newborns Using Weight or Body Measurements: A Multicenter Randomized Clinical Trial
ClinicalTrials.gov study NCT07045506. IPD Sharing: NO. Countries: 1. Publications: 0.
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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)
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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.