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66 results for “biometry”
Figure 1 from: Zduniak P, Yosef R, Bensusan KJ, Perez CE, Tryjanowski P (2015) Biometry and phenology of two sibling Phylloscopus warblers on their circum-Mediterranean migrations. ZooKeys 530: 113-127. https://doi.org/10.3897/zookeys.530.5955
Figure 1 - Migration phenology of Western Bonelli's Warbler in Gibraltar (N = 1073; a) and Eastern (N = 1674; b) Bonelli's Warbler in Eilat, Israel.
Refractive Error and Biometry in Retinopathy of Prematurity
ClinicalTrials.gov study NCT03334513. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Assessment of Measurement Variability Across Automated Biometry Devices
ClinicalTrials.gov study NCT06045325. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of Artificial Tears on Ocular Biometry Parameters
ClinicalTrials.gov study NCT06656403. IPD Sharing: Not stated. Countries: 0. Publications: 9.
Biometry of Occult Lens Subluxation Misdiagnosed as Primary Acute Angle Closed Glaucoma
ClinicalTrials.gov study NCT03752710. IPD Sharing: Not stated. Countries: 0. Publications: 1.
LBA-ECO TG-07 Ground-based Biometry Data at km 83 Site, Tapajos National Forest: 1997
Changes in the biomass of Amazon region forests represent an important component of the global carbon cycle but the biomass of these forests remains poorly quantified. We examined forest survey data for trees with a diameter at breast height (DBH) greater than 35 cm from 4 plots with a total area of 392 ha in the Tapajos National Forest near Santarem, Para, Brazil (S 3.04, W 54.95). The average frequency of trees greater than 35 cm DBH was approximately 55 ha^-1. Based on tree diameter data, allometric relations, and published relations for biomass in other compartments besides trees of DBH > 35 cm, we estimated a total biomass density of 372 Mg ha^-1. Trees with diameters greater than 35 cm DBH accounted for about half of the total biomass. This estimate includes all live and dead plant material above and below ground with the exception of soil organic matter. We propagated errors in sampling and those associated with allometric relations and other ratios used to estimate biomass of roots, lianas and epiphytes, and necromass. The major sources of uncertainty in our estimate were found in the allometric relations for trees with DBH greater than 35 cm, in the estimates of numbers of trees with DBH less than 35 cm, and in root biomass. In the worst case, we estimate an uncertainty in this value of about 40%. Simulated sampling based on our full survey, suggests that we could have estimated mean biomass per hectare for trees (DBH greater than 35 cm) to within 20% with 95% confidence by sampling 21 randomly selected 0.25 ha plots in our study area.
LBA-ECO CD-10 Ground-based Biometry Data at km 67 Tower Site, Tapajos National Forest
This data sets reports biometry measurements of the old-growth upland forest at the Para¡ Western (Santarrem)km 67, Primary Forest Tower Site. This site is in the Tapajos National Forest located in north central Brazil. Measurements extend from July 1999 through March 2005.To monitor tree woody increment, metal dendrometer bands (Figure 1) were placed on a sub-sample of 1000 trees in December 1999. The data set contains estimates of tree diameter at breast height (cm) based on caliper measurements made approximately every six weeks. The first column of data refers to the tree identification number. For a more detailed description of the biometry study refer to Rice et al. 2004.The data file contains a time series of DBH (cm) values from July 1999 through March 2005.
Tree Inventory and Biometry Measurements, Tapajos National Forest, Para, Brazil, 2010
This dataset provides tree inventory, tree height, diameter at breast height (DBH), and estimated crown measurements from 30 plots located in the Tapajos National Forest, Para, Brazil collected in September 2010. The plots were located in primary forest, primary forest subject to reduced-impact selective logging (PFL) between 1999 and 2003, and secondary forest (SF) with different age and disturbance histories. Plots were centered on GLAS (the Geoscience Laser Altimeter System) LiDAR instrument footprints selected along two sensor acquisition tracks spanning a wide range in vertical structure and aboveground biomass.
BOREAS TE-13 Biometry Reports
The Boreal Ecosystem-Atmosphere Study (BOREAS) Terrestrial Ecology (TE)-13 team collected data on site characteristics, soil profiles, woody debris, overstory vegetation, and understory vegetation from approximately 100 sites in the Southern Study Area (SSA), Northern Study Area (NSA), and Transect Areas in the boreal forest. This data sets provides 3 reports published by the Canadian Forest Service for the BOREAS project in pdf file format.
Fetal Tissue Annotation Challenge (FeTA) Biometry - MICCAI 2024
<p>This dataset is the training dataset for the biometry task of FeTA Challenge held at the MICCAI 2024 Conference (Task 2). This derived dataset contains biometric measurement masks of five anatomical regions done on T2-weighted fetal brain super-resolution reconstructions: </p> <p>0. Non-relevant</p> <p>1. Height of the vermis</p> <p>2. Length of the corpus callosum</p> <p>3. Brain biparietal diameter</p> <p>4. Skull biparietal diameter</p> <p>5. Tranverse cerebellar diameter</p> <p>The data are released along a transform file that can be used to re-align the reconstructed T2w images into the plane that was used to execute the biometry.</p> <p>The goal of this dataset is to encourage research groups to develop automated biometry methods that are robust across a range of gestational agesm, multiple centers, a variety of brain pathologies as well as normally developing fetal brains. </p> <p>See fetachallenge.github.io for more details, and to register for the FeTA Challenge. Read carefully the README.md file for further details.</p> <p>If you use this dataset, please cite this repository 10.5281/zenodo.11192452.</p>
Time Study for Biometry Measurements With the Lenstar and IntraOcularLens (IOL) Master 500
ClinicalTrials.gov study NCT01550939. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Effect of Artificial Tears on Biometry
ClinicalTrials.gov study NCT04230720. IPD Sharing: NO. Countries: 1. Publications: 0.
Stability of Biometry in Meibomian Gland Dysfunction
ClinicalTrials.gov study NCT04322656. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of Ocular Biometry in PACD With Two Swept Source Optical Coherence Tomography Devices
ClinicalTrials.gov study NCT05052242. IPD Sharing: NO. Countries: 1. Publications: 0.
Differences Between Male and Femal Fetal Brain Biometry by Ultrasound
ClinicalTrials.gov study NCT06544967. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Agreement and Accuracy of Different Devices for Biometry Measurements in Patients With Cataract
ClinicalTrials.gov study NCT04323358. IPD Sharing: NO. Countries: 1. Publications: 0.
VCSEL Based Optical Swept Source Biometry
ClinicalTrials.gov study NCT06551480. IPD Sharing: NO. Countries: 1. Publications: 0.
1000 Eyes Lens Biometry Study: Artificial Intelligence for Intraocular Lens Power Calculation
ClinicalTrials.gov study NCT05779319. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of Three Swept-source Optical Coherence Biometry Devices in Long and Short Eyes
ClinicalTrials.gov study NCT05232214. IPD Sharing: NO. Countries: 1. Publications: 0.
Multiple Micronutrients Supplementation on Angiogenesis and Vasculogenesis Factors, and Fetal Biometry
ClinicalTrials.gov study NCT06929793. IPD Sharing: UNDECIDED. 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
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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.