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218 results for “Bubble”
Figure 1. Bubble plot showing snapping turtle clutch sizes recorded 2004–2015 in Long-term increases in clutch size in common snapping turtles (Chelydra serpentina) and diamondback terrapins (Malaclemys terrapin)
Figure 1. Bubble plot showing snapping turtle clutch sizes recorded 2004–2015. Bubble size indicates the number of clutches of the same size.
Supplementary Data for "Hydrate Formation on Marine Seep Bubbles and the Implications for Water Column Methane Dissolution"
<p>This data deposit contains the data necessary to reproduce results presented in the paper "Hydrate Formation on Marine Seep Bubbles and the Implications for Water Column Methane Dissolution", to appear in JGR Oceans. </p> <p>The files "Fu_AGUSupplementary_S11.xlsx" and "Fu_AGUSupplementary_S12.xlsx" are referenced in the supplement of the original paper. </p> <p>The file "Fu_AGUSupplementary_additionalDATA.xlsx" contains all the data and inputs used to create Figure 14, 15 and 16 of the original manuscript.</p>
FIGURE 8 in Morphology of developing larvae and a dichotomous key for five bubble-nesting Betta species (Teleostei: Osphronemidae)
FIGURE 8. Morphological and pigmentation features of immature stages of Betta splendens (KUMF 7070); (a) Newly hatched larva (NL = 2.45 mm); (b) day 1 yolk sac larva (NL = 2.69 mm); (c) day 3 pre-flexion larva (NL = 2.86 mm); (d) day 7 preflexion larva (NL = 3.42 mm); (e) day 9 flexion larva (NL = 3.59 mm); (f) day 15 post-flexion larva (SL = 5.58 mm); (g) day 18 post-flexion larva (SL = 6.24 mm); (h) day 40 juvenile (SL = 11.78 mm).
FIGURE 1 in Morphology of developing larvae and a dichotomous key for five bubble-nesting Betta species (Teleostei: Osphronemidae)
FIGURE 1. Collection localities of broodstocks for the five Betta species from Thailand: B. imbellis (a), B. mahachaiensis (b), B. splendens (c), B. siamorientalis (d), and B. smaragdina (e).
FIGURE 3 in Morphology of developing larvae and a dichotomous key for five bubble-nesting Betta species (Teleostei: Osphronemidae)
FIGURE 3. Relationship between age (days) and body size (mm) from hatching to 50 days for five Betta species. Solid lines with filled circles represent.
FIGURE 5 in Morphology of developing larvae and a dichotomous key for five bubble-nesting Betta species (Teleostei: Osphronemidae)
FIGURE 5. Morphological and pigmentation features of immature stages of Betta mahachaiensis (KUMF 7067). (a) Newly hatched larva (NL = 2.58 mm); (b) day 1 yolk sac larva (NL = 2.70 mm); (c) day 3 pre-flexion larva (NL = 2.78 mm); (d) day 9 pre-flexion larva (NL = 3.20 mm); (e) day 15 flexion larva (NL = 3.22 mm); (f) day 18 post-flexion larva (SL = 3.82 mm); (g) day 31 post-flexion larva (SL = 6.24 mm); (h) day 40 juvenile (SL = 7.57 mm).
FIGURE 7 in Morphology of developing larvae and a dichotomous key for five bubble-nesting Betta species (Teleostei: Osphronemidae)
FIGURE 7. Morphological and pigmentation features of immature stages of Betta smaragdina (KUMF 7069); (a) Newly hatched larva (NL = 2.47 mm); (b) day 1 yolk sac larva (NL = 2.79 mm); (c) day 3 pre-flexion larva (NL = 3.24 mm); (d) day 7 pre-flexion larva (NL = 4.06 mm); (e) day 9 flexion larva (NL = 4.9 mm); (f) day 15 post-flexion larva (SL = 6.50 mm); (g) day 23 post-flexion larva (SL = 7.72 mm); (h) day 40 juvenile (SL = 10.40 mm).
Modeling the Day-to-Day Variability of Midnight Equatorial Plasma Bubbles with SAMI3/WACCM-X
<p>SAMI3/WACCM-X output files</p>
Ground truth annotations for boiling bubble detection and measurement in microgravity
<p>This is a dataset of ground truth annotations for benchmark data provided in A. Sielaff, D. Mangini, O. Kabov, M. Raza, A. Garivalis, M. Zupančič, S. Dehaeck, S. Evgenidis, C. Jacobs, D. Van Hoof, O. Oikonomidou, X. Zabulis, P. Karamaounas, A. Bender, F. Ronshin, M. Schinnerl,</p> <p>J. Sebilleau, C. Colin, P. Di Marco, T. Karapantsios, I. Golobič, A. Rednikov, P. Colinet, P. Stephan, L. Tadrist, The multiscale boiling investigation on-board the international space station:</p> <p>An overview, Applied Thermal Engineering 205 (2022) 117932. doi:10.1016/j.applthermaleng.2021.117932.</p> <p> </p> <p>The annotations regard the 15 image sequences provided in the benchmark data and denoted as D1-D15.</p> <p>The annotators were asked to localize the contact points and points on the bubble boundary so an adequate contour identification is provided, according to the judgement of the expert. The annotators were two multiphase dynamics experts (RO, SE) and one image processing expert (ICS). The annotators used custom-made software to pinpoint samples upon contour locations in the images carefully, using magnification, undo, and editing facilities. The experts annotated the contact points and multiple points on the contour of the bubble until they were satisfied with the result.</p> <p>The annotations were collected for the first bubble of each sequence. For each bubble, 20 frames were sampled in chronological order and in equidistant temporal steps and annotated. All experts annotated data sets D1-D15. The rest were annotated by ICS after learning annotation insights from the multiphase dynamics experts.</p> <p>The format of the dataset is as follows. A directory is dedicated to each bubble annotation. The directory name notes the number of the dataset and the annotator id. Each directory contains 20 text files and 20, corresponding, images. Each text file contains a list with the 2D coordinates of one bubble annotation. The first coordinate marks the left contact point and the last coordinate marks the right contact point. These coordinates refer to a corresponding image contained in the same directory. Text files and image files are corresponded through their file names, which contain the frame number. The frame number refers to the image sequence. Images are in lossless PNG format.</p>
Bubble measurement results for boiling bubbles in microgravity
<p>This dataset is supplementary material to the submission “Recent advances on the detection and measurement of bubble contours during subcooled boiling in microgravity”, by Xenophon Zabulis, Polykarpos Karamaounas, Ourania Oikonomidou, Sotiris Evgenidis, Margaritis Kostoglou, Martin Schinnerl, Axel Sielaff, Peter Stephan, Thodoris Karapantsios. The dataset contains videos that show the results of contour tracing and contact angle estimation of the proposed method on the reference data sets provided in [1]. The results are provided in a lossless video format.</p> <p>The reference datasets are 15 and denoted as D1 to D15. Data sets, D6, D7, D8, D9 and D15 record one bubble. The rest record multiple bubbles.</p> <p>All videos show the estimated contact points, the traced bubble contour, and the estimated contact angles. Each video frame shows also the dataset, bubble number, and frame number, in the center of the found bubble. Below this reading, the estimates of the contact angles are printed.</p> <p>Ground truth annotations for the bubbles shown in the first part can be found in [2].</p> <p>[1] A. Sielaff, D. Mangini, O. Kabov, M. Raza, A. Garivalis, M. Zupančič, S. Dehaeck, S. Evgenidis, C. Jacobs, D. Van Hoof, O. Oikonomidou, X. Zabulis, P. Karamaounas, A. Bender, F. Ronshin, M. Schinnerl, J. Sebilleau, C. Colin, P. Di Marco, T. Karapantsios, I. Golobič, A. Rednikov, P. Colinet, P. Stephan, L. Tadrist, The multiscale boiling investigation on-board the international space station: An overview, Applied Thermal Engineering 205 (2022) 117932. doi:10.1016/j.applthermaleng.2021.117932</p> <p>[2] X. Zabulis, P. Karamaounas, O. Oikonomidou, S. Evgenidis, M. Kostoglou, A. Sielaff, P. Stephan, T. Karapantsios, Ground truth annotations for boiling bubble detection and measurement in microgravity (Jan. 2023). doi:10.5281/zenodo.7553797. URL https://doi.org/10.5281/zenodo.7553797</p>
A closer look at high-energy X-ray-induced bubble formation during soft tissue imaging
<p>Improving the scalability of tissue imaging throughput with bright, coherent X-rays requires identifying and mitigating artifacts resulting from the interactions between X-rays and matter. At synchrotron sources, long-term imaging of soft tissues in solution can result in gas bubble formation or cavitation, which dramatically compromises image quality and integrity of the samples. By combining in-line phase-contrast cineradiography with <em>operando</em> gas chromatography, we were able to track the onset and evolution of high-energy X-ray-induced gas bubbles in ethanol-embedded soft tissue samples for tens of minutes (2 to 3 times the typical scan times). We demonstrate quantitatively that vacuum degassing of the sample during preparation can significantly delay bubble formation, offering up to a twofold improvement in dose tolerance, depending on the tissue type. However, once nucleated, bubble growth is faster in degassed than undegassed samples, indicating their distinct metastable states at bubble onset. Gas chromatography analysis shows increased solvent vaporization concurrent with bubble formation, yet the quantities of dissolved gases remain unchanged. Coupling features extracted from the radiographs with computational analysis of bubble characteristics, we uncover dose-controlled kinetics and nucleation site-specific growth. These hallmark signatures provide quantitative constraints on the driving mechanisms of bubble formation and growth. Overall, the observations highlight bubble formation as a critical, yet often overlooked hurdle in upscaling X-ray imaging for biological tissues and soft materials and we offer an empirical foundation for their understanding and imaging protocol optimization. More importantly, our approaches establish a top-down scheme to decipher the complex, multiscale radiation-matter interactions in these applications.</p>
Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X
<p>dataset for figures in the paper</p> <p> Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X</p>
SAMI3/WACCM-X Modeling of the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum
<p>Data set for figures in the paper ' Modeling the Development of an Equatorial Plasma Bubble during a Midnight Temperature Maximum with SAMI3/WACCM-X'</p>
Effectiveness of Bubble Nasal Continuous Positive Airway Pressure (bCPAP) in Neonatal Respiratory Distress
ClinicalTrials.gov study NCT04401696. IPD Sharing: NO. Countries: 1. Publications: 12.
The Effects of Cartoon Watching and Bubble Blowing as Distraction Methods During Venipuncture on Pain, Anxiety, and Fear in Children Aged 6-8 Years
ClinicalTrials.gov study NCT05161416. IPD Sharing: NO. Countries: 1. Publications: 1.
Comparative Effects of ACBT and Bubble Positive Expiratory Pressure Device in Asthmatic Patients
ClinicalTrials.gov study NCT06176742. IPD Sharing: NO. Countries: 1. Publications: 12.
Effect of Bubble Positive Expiratory Pressure and Segmental Breathing Versus Incentive Spirometry in Pleural Effusion
ClinicalTrials.gov study NCT07248774. IPD Sharing: NO. Countries: 1. Publications: 1.
Use of Bubble Continuous Positive Airway Pressure Compared to Nasal Prong Oxygen or Humidified High Flow in Children Under Five With Severe Pneumonia and Hypoxaemia
ClinicalTrials.gov study NCT01396759. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Comparing Bubble and Ventilator Nasal CPAP in Preterm Infants
ClinicalTrials.gov study NCT02003846. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Novel Low Cost Bubble CPAP as an Alternative Respiratory Support in Low Resource Setting
ClinicalTrials.gov study NCT06082674. IPD Sharing: NO. Countries: 1. Publications: 1.
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.