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Dataset results
228 results for “Volumetric”
Data from: Large parasites in a crowded space: variation in prevalence and volumetric effects of <em>Sarcotaces arcticus</em> (Collett, 1874) in two host rockfish (<em>Sebastes</em> spp.) species.
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Data from: Body mass estimates of an exceptionally complete Stegosaurus (Ornithischia: Thyreophora): comparing volumetric and linear bivariate mass estimation methods
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Data from: Reproducibility of volumetric computed tomography of stable small pulmonary nodules with implications on estimated growth rate and optimal scan interval
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Data from: Estimating field capacity from volumetric soil water content time series using automated processing algorithms
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Data from: Estimating body mass of free-living whales using aerial photogrammetry and 3D volumetrics
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Dataset for: Physics-informed neural networks with monotonicity constraints for Richardson-Richards equation: Estimation of constitutive relationships and soil water flux density from volumetric water content measurements by Toshiyuki Bandai and Teamrat A. Ghezzehei
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Data from: Mapping and analysis of the connectome of sympathetic premotor neurons in the rostral ventrolateral medulla of the rat using a volumetric brain atlas
Spinally projecting neurons in the rostral ventrolateral medulla (RVLM) play a critical role in the generation of vasomotor sympathetic tone and are thought to receive convergent input from neurons at every level of the neuraxis; the factors that determine their ongoing activity remain unresolved. In this study we use a genetically restricted viral tracing strategy to definitively map their spatially diffuse connectome. We infected bulbospinal RVLM neurons with recombinant rabies variant that drives reporter expression in monosynaptically connected input neurons and mapped their distribution using a MRI-based volumetric atlas and a novel image alignment and visualization tool that efficiently translates the positions of neurons captured in conventional photomicrographs to Cartesian coordinates. We identified prominent inputs from well-established neurohumoral and viscero-sympathetic sensory actuators, medullary autonomic and respiratory subnuclei, and supramedullary autonomic nuclei. The majority of inputs lay within the brainstem (88 – 94%), and included putative respiratory neurons in the pre-Bötzinger Complex and post-inspiratory complex that are therefore likely to underlie respiratory-sympathetic coupling. We also discovered a substantial and previously unrecognized input from the region immediately ventral to nucleus prepositus hypoglossi. In contrast, RVLM sympathetic premotor neurons were only sparsely innervated by suprapontine structures including the paraventricular nucleus, lateral hypothalamus, periaqueductal grey and superior colliculus, and we found almost no evidence of direct inputs from the cortex or amygdala. Our approach can be used to quantify, standardize and share complete neuroanatomical datasets, and therefore provides researchers with a platform for presentation, analysis and independent analysis of connectomic data.
Data from: An advanced shape-fitting algorithm applied to quadrupedal mammals: improving volumetric mass estimates
Body mass is a fundamental physical property of an individual and has enormous bearing upon ecology and physiology. Generating reliable estimates for body mass is therefore a necessary step in many palaeontological studies. Whilst early reconstructions of mass in extinct species relied upon isolated skeletal elements, volumetric techniques are increasingly applied to fossils when skeletal completeness allows. We apply a new 'alpha shapes' (α-shapes) algorithm to volumetric mass estimation in quadrupedal mammals. α-shapes are defined by: (i) the underlying skeletal structure to which they are fitted; and (ii) the value α, determining the refinement of fit. For a given skeleton, a range of α-shapes may be fitted around the individual, spanning from very coarse to very fine. We fit α-shapes to three-dimensional models of extant mammals and calculate volumes, which are regressed against mass to generate predictive equations. Our optimal model is characterized by a high correlation coefficient and mean square error (r 2=0.975, m.s.e.=0.025). When applied to the woolly mammoth (Mammuthus primigenius) and giant ground sloth (Megatherium americanum), we reconstruct masses of 3635 and 3706 kg, respectively. We consider α-shapes an improvement upon previous techniques as resulting volumes are less sensitive to uncertainties in skeletal reconstructions, and do not require manual separation of body segments from skeletons.
Volumetric Benchmarking of Error Mitigation with Qermit: Experimental Data
<p>Here we give results and experiment definitions which correspond to the experiments shown in the paper "Volumetric Benchmarking of Error Mitigation with Qermit". Key files and folders are the following:</p> <ul> <li>experiments.csv - Each experiment, assigned a unique ID as given in experiments.csv, is defined by a circuit, observable pair. Each circuit and observable is also given a unique ID. The pairs that define the experiments conducted in the paper "Volumetric Benchmarking of Error Mitigation with Qermit" are given in experiments.csv.</li> <li>device_experiments.csv - Contains the subset of those experiments listed in experiments.csv which were run on real devices in the paper "Volumetric Benchmarking of Error Mitigation with Qermit".</li> <li>Observables are accessible in observables.zip and the circuits in circuits.zip. In both cases the file names match their ID.</li> <li>circuits.csv - Circuits are specified by a unique ID. circuits.csv gives additional details about the properties of the circuit, including their size and type. </li> <li>results.csv - Contains experiment results. Each result is specified by a unique ID, with results.csv containing information about the device used, the error mitigation strategy used, and the time at which the experiment took place.</li> <li>gen_experiments.py - A command line tool used to generate the experiments performed.</li> <li>example_experiment.ipynb - An example of how one may access and use the experiment specifications given here. This matches roughly the process taken in the experiments of "Volumetric Benchmarking of Error Mitigation with Qermit".</li> <li>{device}_{date}.pkl - Device characteristics on the day the experiments were conducted.</li> </ul>
Data of "Accurate estimation of volumetric diet through metabarcoding in a top predator with confusing effect of blocking primers."
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Data from: The tendinopathic Achilles tendon does not remain iso-volumetric upon repeated loading: insights from 3D ultrasound
Mid-portion Achilles tendinopathy (MAT) alters the normal three-dimensional (3D) morphology of the Achilles tendon (AT) at rest and under a single tensile load. However, how MAT changes the 3D morphology of the AT during repeated loading remains unclear. This study compared the AT longitudinal, transverse and volume strains during repeated loading of the tendinopathic AT with those of the contralateral tendon in people with unilateral MAT. Ten adults with unilateral MAT performed 10 successive 25 s submaximal (50%) voluntary isometric plantarflexion contractions with both legs. Freehand 3D ultrasound scans were recorded and used to measure whole AT, free AT and proximal AT longitudinal strains and free AT cross-sectional area (CSA) and volume strains. The free AT experienced higher longitudinal and CSA strain and reached steady state following a greater number of contractions (five contractions) in the tendinopathic AT compared with the contralateral tendon (three contractions). Further, free tendon CSA and volume strain were greater in the tendinopathic AT than in the contralateral tendon from the first contraction, whereas free AT longitudinal strain was not greater than that of the contralateral tendon until the fourth contraction. Volume loss from the tendon core therefore preceded the greater longitudinal strain in the tendinopathic AT. Overall, these findings suggest that the tendinopathic free AT experiences an exaggerated longitudinal and transverse strain response under repeated loading that is underpinned by an altered interaction between solid and fluid tendon matrix components. These alterations are indicative of accentuated poroelasticity and an altered local stress–strain environment within the tendinopathic free tendon matrix, which could affect tendon remodelling via mechanobiological pathways.
High-Sensitivity Whispering Gallery Mode Humidity Sensor Based on Glycerol Microdroplet Volumetric Expansion
<p>We demonstrate a highly sensitive whispering gallery mode (WGM) relative humidity (RH) sensor based on a glycerol microdroplet. WGMs were excited using a 760 nm tunable semiconductor laser. We used free space coupling, which is effective when using a liquid resonator. A detailed analysis of different parameters influencing the sensor’s characteristics (sensitivity, hysteresis, resolution, stability, and temperature) is presented. The sensitivity of the sensor is one of the highest reported (2.85 nm/% RH in the range 50–70% RH with the resolution 1 × 10<sup>−4</sup>% RH). This type of humidity sensor has several advantages, such as high sensitivity, extended lifetime, good repeatability, and low cost, as well as the use of a non-toxic and environmentally friendly liquid.</p> <p>Added files contain the data from Figures 3, 5, 6, 8 of the article.</p>
A Volumetric Analysis of Soft and Hard Tissue Healing for Ridge Preservation and Socket Seal After Tooth Extraction
ClinicalTrials.gov study NCT02844569. IPD Sharing: YES. Countries: 1. Publications: 0.
Computer Assisted Volumetric Analysis of CT-Identified Metastatic Pulmonary Or Hepatic Lesions
ClinicalTrials.gov study NCT00676455. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Volumetric Impedance to Guide Stroke Response
ClinicalTrials.gov study NCT03767842. IPD Sharing: NO. Countries: 1. Publications: 1.
Study of Craniospinal Irradiation With Linac Based Volumetric Modulated Arc Therapy (VMAT) for Patients With Leptomeningeal Metastasis
ClinicalTrials.gov study NCT06984523. IPD Sharing: YES. Countries: 1. Publications: 0.
Volumetric Parameter of 18F-FDG PET/CT in Characterizing Thyroid Incidentalomas
ClinicalTrials.gov study NCT07163806. IPD Sharing: NO. Countries: 0. Publications: 1.
CBCT Segmentation in Volumetric Measurements of MS Using Different Soft Wares: A Validity and Reliability Study
ClinicalTrials.gov study NCT04092699. IPD Sharing: UNDECIDED. Countries: 0. Publications: 3.
Volumetric Intensity Modulated Arc Therapy vs. Conventional Radiotherapy for Cancer Pain
ClinicalTrials.gov study NCT03374592. IPD Sharing: NO. Countries: 0. Publications: 2.
Detection of Coronary Artery Calcification: Comparison of Volumetric and Electron Beam Computed Tomography
ClinicalTrials.gov study NCT00001836. IPD Sharing: Not stated. Countries: 1. Publications: 3.
ScienceDex guides
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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)
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.
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.