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ShareScore release 0.9.0
Dataset results
47 results for “Weight estimation”
Estimation of Fetal Weight by MR Imaging to PREdict Neonatal MACROsomia (PREMACRO Study)
ClinicalTrials.gov study NCT02713568. IPD Sharing: Not stated. Countries: 1. Publications: 21.
Comparison of Body Weights Via Visual Estimation, Anthropometric Calculation, and Actual Measured in Critically Ill Patients
ClinicalTrials.gov study NCT06269861. IPD Sharing: NO. Countries: 1. Publications: 13.
Comparison of Sonographic and MRI Weight Estimation in Fetuses with Suspected Macrosomia
ClinicalTrials.gov study NCT06898892. IPD Sharing: YES. Countries: 1. Publications: 3.
A Comparison of Paediatric Weight Estimation Methods for Emergency Resuscitation
ClinicalTrials.gov study NCT02466620. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care: Study 2
ClinicalTrials.gov study NCT06646133. IPD Sharing: YES. Countries: 1. Publications: 6.
Rank likelihood-based estimation of low birth weight in Ethiopia
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Data from: Refining estimates of dry body weight from linear measurements in adult moths and butterflies (Lepidoptera)
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Data from: Reliability-based weighting of visual and vestibular cues in displacement estimation
When navigating through the environment, our brain needs to infer how far we move and in which direction we are heading. In this estimation process, the brain may rely on multiple sensory modalities, including the visual and vestibular systems. Previous research has mainly focused on heading estimation, showing that sensory cues are combined by weighting them in proportion to their reliability, consistent with statistically optimal integration. But while heading estimation could improve with the ongoing motion, due to the constant flow of information, the estimate of how far we move requires the integration of sensory information across the whole displacement. In this study, we investigate whether the brain optimally combines visual and vestibular information during a displacement estimation task, even if their reliability varies from trial to trial. Participants were seated on a linear sled, immersed in a stereoscopic virtual reality environment. They were subjected to a passive linear motion involving visual and vestibular cues with different levels of visual coherence to change relative cue reliability and with cue discrepancies to test relative cue weighting. Participants performed a two-interval two-alternative forced-choice task, indicating which of two sequentially perceived displacements was larger. Our results show that humans adapt their weighting of visual and vestibular information from trial to trial in proportion to their reliability. These results provide evidence that humans optimally integrate visual and vestibular information in order to estimate their body displacement.
Blind Measurement in Fetal Weight Estimation
ClinicalTrials.gov study NCT06687239. IPD Sharing: YES. Countries: 0. Publications: 5.
Automated Fetal Weight Estimation: A Multicenter Validation Using Fractional Limb Volume
ClinicalTrials.gov study NCT03002246. IPD Sharing: YES. Countries: 0. Publications: 1.
Body Fluid Dynamics in Hemodialysis Patients, an Estimation of Dry Weight
ClinicalTrials.gov study NCT02325908. IPD Sharing: Not stated. Countries: 0. Publications: 18.
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 1
ClinicalTrials.gov study NCT06646120. IPD Sharing: YES. Countries: 0. Publications: 5.
Comparison of Three Methods for Fetal Weight Estimation
ClinicalTrials.gov study NCT05478798. IPD Sharing: UNDECIDED. Countries: 0. Publications: 1.
Machine Learning and 3D Image-Based Modeling for Real-Time Body Weight and Body Composition Estimation During Emergency Medical Care. Study 3
ClinicalTrials.gov study NCT06645548. IPD Sharing: YES. Countries: 0. Publications: 6.
Data from: Reliability-based weighting of visual and vestibular cues in displacement estimation
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Comparison Between Fetal Thigh Soft Tissue Versus Hadlock's Formula in Estimation of Fetal Weight by Ultrasound
ClinicalTrials.gov study NCT03459989. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Evaluation of an Algorithm for Length Based Weight Estimation in Comparison to Known Devices
ClinicalTrials.gov study NCT02620540. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Fetus Weight Estimation by Ultrasound Data Collection
ClinicalTrials.gov study NCT03857204. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of an Algorithm for Length Based Weight Estimation
ClinicalTrials.gov study NCT02480413. IPD Sharing: Not stated. Countries: 1. Publications: 0.
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.
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.