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39 results for “volume estimation”
Finite amplitude sound propagation effects in volume backscattering measurements for fish abundance estimation
<p>The upload contains measurement and simulation data for finite-amplitude sound propagation effects in volume backscattering measurements. The experimental data are from a trawl survey conducted in the North Sea with R/V "G. O. Sars", 6-7 November 2004, passing several times over a group of Atlantic mackerel schools. The measurements are of the relative area backscattering coefficient, relative to 38 kHz, 2000 W power setting, at</p> <p>(1) 120 kHz with 250 W transmit power setting, 200 kHz with 120 W transmit power setting<br> (2) 120 kHz with 1000 W power setting, 200 kHz with 1000 W power setting.</p> <p>A Simrad EK60 echosounder system was used, alternating between the low (1) and high (2) power settings through the measurement series.</p> <p>The corresponding simulation data are calculated using the Bergen Code numerical solver of the KZK Equation. The medium parameters input to the simulations are based on CTD data from the field survey . The transducer and amplitude data were found by laboratory measurements on echo sounders of the same type as used in the survey.</p> <p>.m files are included for both .mat data files, with details on how to read the data.</p> <p>An article describing the data has been submitted by the authors to Acta Acustica, 2022.</p>
Virtually estimated endocranial volumes of the Krapina Neandertals
<p>To use any of these data, please cite:<br>Cofran, Z., Boone, M., and Petticord, M. 2021. Virtually estimated endocranial volumes of the Krapina Neandertals. American Journal of Physical Anthropology 174:117–128. <a href="https://doi.org/10.1002/ajpa.24165">https://doi.org/10.1002/ajpa.24165</a></p> <p><strong>S2. Endocranial volumes of Middle Pleistocene hominins from this and other studies</strong></p> <p>A comma separated values (.csv) format file containing 10 ECVs for each of the Krapina hominins as determined by warping human reference endocasts, and single ECV estimates for the Sima de los Huesos hominins, pre-Würm Neandertals, and Würm Neandertals. The Sima de los Huesos data are from Poza-Rey and colleagues (2018). Würm and pre-Würm Neandertal values come mainly from DeSilva (2018), but in some cases more recent and/or virtually-estimated values were used instead (i.e., Braüer et al., 2020; Bruner & Manzi, 2008; Neubauer et al., 2018; Rougier, 2003).</p> <p><strong>References</strong></p> <p>Braüer, G., Pitsios, T., Säring, D., von Harling, M., Jessen, F., Kroll, A., & Groden, C. (2020). Virtual reconstruction and comparative analyses of the Middle Pleistocene Apidima 2 cranium (Greece). <em>Anatomical Record</em> 303: 1374–1392. doi: 10.1002/ar.24225</p> <p>Bruner, E., & Manzi, G. Paleoneurology of an “Early” Neandertal: Endocranial size, shape, and features of Saccopastore 1. <em>Journal of Human Evolution</em> 54: 729–742.</p> <p>Neubauer, S., Hublin, J.-J., & Gunz, P. (2018). The evolution of modern human brain shape. <em>Science Advances</em>, 4: eaao5961. doi: 10.1126/sciadv.aao5961</p> <p>Poza-Rey, E. M., Gómez-Robles, A., & Arsuaga, J. L. (2019). Brain size and organization in the Middle Pleistocene hominins from Sima de los Huesos. Inferences from endocranial variation. <em>Journal of Human Evolution</em>, 129: 67–90. doi:10.1016/j.jhevol.2019.01.006.</p> <p>Rougier, H. (2003). Étude descriptive et comparative de Biache-Saint-Vaast 1 (Biache-Saint-Vaast, Pas-de-Calais, France) (doctoral dissertation). Sciences de l’Homme et Société. Université de Bordeaux, Bordeaux.</p> <p><strong>S3. Terry Collection endocast landmark data</strong></p> <p>A comma separated values (.csv) format file containing all 441 landmarks for all 40 adult human endocasts from the Terry Collection (Copes, 2012), used in this study. Note that the original CT scan data can be downloaded from Dr. Lynn Copes’ website (http://www.lynncopes.com/human-ct-scans.html). The .csv file contains a column for individual ID, landmark name, and the x-, y-, and z-coordinates of the landmark. The ten individuals used as references to reconstruct the fossil endocasts are identified as TC 712, TC 942, TC 956, TC 1015, TC 1155, TC 1233R, TC 1293, TC 1306, TC 1323, and TC 1356.</p> <p><strong>Reference</strong></p> <p>Copes, L. E. (2012). Comparative and Experimental Investigations of Cranial Robusticity in Mid-Pleistocene Hominins (doctoral dissertation). Arizona State University, Tempe.</p> <p><strong>S4. Fossil endocast landmark data</strong></p> <p>A comma separated values (.csv) format file containing all 441 landmarks for Spy II and each of the five Krapina hominins. For each fossil, the dataset contains only the landmarks located on preserved endocranial surface, as originally digitized in Viewbox4 (dHAL Software) prior to missing data estimation as described in the Methods section of the manuscript. .csv file contains a column for individual ID, landmark name, and the x-, y-, and z-coordinates of the landmark.</p>
Seismic analysis of the detachment and impact phases of a rockfall and application for estimating rockfall volume and free-fall height
<p>Digital Elevation models of the Mount Granier and Mount Saint-Eynard.</p> <p>Mount Saint-Eynard DEMs were carried out using an Optech Ilris-LR laser scanner.</p> <p>Mount Granier DEMs were carried out by photogrammetry.</p> <p> </p>
Estimation of curvature from volume fractions using parabolic reconstruction on two-dimensional unstructured meshes (Supporting data)
<p>This data accompanies the paper "Estimation of curvature from volume fractions using parabolic reconstruction on two-dimensional unstructured meshes", published in Journal of Computational Physics (2017). The document "supportingdata.pdf" gives a description of the data provided in the txt-files.</p>
Ultrasound Estimation of Gastric Volumes in Patients With Previous Gastric Sleeve
ClinicalTrials.gov study NCT06533046. IPD Sharing: YES. Countries: 1. Publications: 13.
Data from: Macroevolution of desiccation-related morphology in plethodontid salamanders as inferred from a novel surface area to volume ratio estimation approach
Evolutionary biologists have long been interested in the macroevolutionary consequences of various selection pressures, yet physiological responses to selection across deep time are not well understood. In this paper, we investigate how a physiologically-relevant morphological trait, surface area to volume ratio (SA:V) of lungless salamanders, has evolved across broad regional and climatic variation. SA:V directly impacts an organisms' ability to retain water, leading to the expectation that smaller SA:Vs would be advantageous in arid, water-limited environments. To explore the macroevolutionary patterns of SA:V, we first develop an accurate method for estimating SA:V from linear measurements. Next, we investigate the macroevolutionary patterns of SA:V across 257 salamander species, revealing that higher SA:Vs phylogenetically correlate with warmer, wetter climates. We also observe higher SA:V disparity and rate of evolution in tropical species, mirrored by higher climatic disparity in available and occupied tropical habitats. Taken together, these results suggest that the tropics have provided a wider range of warmer, wetter climates for salamanders to exploit, thereby relaxing desiccation pressures on SA:V. Overall, this paper provides an accurate, efficient method for quantifying salamander SA:V, allowing us to demonstrate the power of physiological selection pressures in influencing the macroevolution of morphology.
Estimation of landslide volume by machine learning and remote sensing techniques in Himalayan Regions
<p>This dataset was prepared for the development of a machine learning model so as to use this model to estimate the potential landslide volume in the Himalayan Regions, especially the Gyirong. This area serves as the only land route between China and Nepal, suffering from severe landslides each year and causing losses of human lives and properties. Therefore, developing an effective model for reliable estimation of landslide volume is of much significance for local people and decision-makers.</p>
Estimation of Preoperative Gastric Volume Using Ultrasound
ClinicalTrials.gov study NCT03155776. IPD Sharing: Not stated. Countries: 1. Publications: 1.
MRI-Based Estimation of Lumbar CSF Volume and Its Clinical Impact on Spinal Anaesthesia
ClinicalTrials.gov study NCT07333703. IPD Sharing: NO. Countries: 1. Publications: 1.
Fetal Adrenal Gland Volume Estimation Compared to Cervical Length Assessment in Prediction of Preterm Birth
ClinicalTrials.gov study NCT02351336. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Gastric Volume Estimation by Ultrasonography After Glucose Loaded Clear Fluid Ingestion in Fasted Adult
ClinicalTrials.gov study NCT04478435. IPD Sharing: NO. Countries: 1. Publications: 4.
Estimating Volume Using LiDCO
ClinicalTrials.gov study NCT00571441. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Fetal Adrenal Gland Volume Estimation in Prediction of Preterm Birth
ClinicalTrials.gov study NCT02339623. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Estimation of Plasma Folate Apparent Volume of Distribution in Adults
ClinicalTrials.gov study NCT00975351. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Estimation of Injection Volume for Caudal Epidural Block Using Dynamic US Imaging in Children
ClinicalTrials.gov study NCT04039295. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Bioelectrical Impedance Analysis as a Bedside Tool to Estimate Volume of Distribution of Hydrophilic Antimicrobials in Critically Ill Patients
ClinicalTrials.gov study NCT03410771. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Data from: Validating methods for estimating endocranial volume in individual red deer (Cervus elaphus)
Open the record for dataset details and reuse information.
Data from: Macroevolution of desiccation-related morphology in plethodontid salamanders as inferred from a novel surface area to volume ratio estimation approach
Open the record for dataset details and reuse information.
Data from: Minimally invasive estimation of ventricular dead space volume through use of Frank-Starling curves
This paper develops a means of more easily and less invasively estimating ventricular dead space volume (Vd), an important, but difficult to measure physiological parameter. Vd represents a subject and condition dependent portion of measured ventricular volume that is not actively participating in ventricular function. It is employed in models based on the time varying elastance concept, which see widespread use in haemodynamic studies, and may have direct diagnostic use. The proposed method involves linear extrapolation of a Frank-Starling curve (stroke volume vs end-diastolic volume) and its end-systolic equivalent (stroke volume vs end-systolic volume), developed across normal clinical procedures such as recruitment manoeuvres, to their point of intersection with the y-axis (where stroke volume is 0) to determine Vd. To demonstrate the broad applicability of the method, it was validated across a cohort of six sedated and anaesthetised male Pietrain pigs, encompassing a variety of cardiac states from healthy baseline behaviour to circulatory failure due to septic shock induced by endotoxin infusion. Linear extrapolation of the curves was supported by strong linear correlation coefficients of R = 0.78 and R = 0.80 average for pre- and post- endotoxin infusion respectively, as well as good agreement between the two linearly extrapolated y-intercepts (Vd) for each subject (no more than 7.8% variation). Method validity was further supported by the physiologically reasonable Vd values produced, equivalent to 44.3-53.1% and 49.3-82.6% of baseline end-systolic volume before and after endotoxin infusion respectively. This method has the potential to allow Vd to be estimated without a particularly demanding, specialised protocol in an experimental environment. Further, due to the common use of both mechanical ventilation and recruitment manoeuvres in intensive care, this method, subject to the availability of multi-beat echocardiography, has the potential to allow for estimation of Vd in a clinical environment.
Data from: Multiple regression modelling for estimating endocranial volume in extinct Mammalia
The profound evolutionary success of mammals has been linked to behavioral and life-history traits, many of which have been tied to brain size. However, studies of the evolution of this key trait have yet to explore the full potential of the fossil record, being limited by the difficulty of obtaining endocranial data from fossils. Using measurements of endocranial volume, length, height, and width of the braincase in 503 adult specimens from 199 extant species, representing 99 of 133 extant mammalian families, we expand upon a simple method of using multiple regression to develop a formula for estimating brain size from external skull measurements. We also examined non- mammalian synapsids to assess the phylogenetic limits of our model's application. Model-predicted volume correlates strongly with measured volume (R2 = 0.993) and prediction error is between 16% and 19%. Error decreases if models developed for well-sampled subclades such as primates or rodents are used, demonstrating that some differential evolution of the relationship between brain size and skull size has occurred. However, reanalysis using phylogenetically independent contrasts demonstrates weak phylogenetic dependency, indicating that our model is appropriate for estimating the endocranial volume of species of unknown phylogenetic affinity. Thus, the model represents a generally applicable, fast and cost-efficient way to dramatically expand the taxonomic and temporal scope of mammalian brain size data sets. Even endocranial volumes of taxa with highly derived crania, such as cetaceans and monotremes, can be estimated confidently. However, the model works best for generalized placental crania. Fundamental differences in cranial architecture suggest that the model cannot provide accurate estimates of endocranial volume in non-mammalian synapsids more basal than Morganucodon (ca. 200 Ma). Therefore, use of the model for taxa phylogenetically distant from the mammalian crown group is not warranted, but it might be used to establish relative brain sizes between closely related subgroups.
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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.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.