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1,904 results for “Breathing”
FIGURE 5 in A New Species of Air-breathing Catfish (Clariidae: Clarias) from Salonga National Park, Democratic Republic of the Congo
FIGURE 5. Exposed cleithrum (demarcated by dashed line) of A, Clarias buthupogon, AMNH 227571, 162 mm SL and B, Clarias monsembulai, AMNH 244162, 183 mm SL. Scale bar = 1 cm.
FIGURE 4 in A New Species of Air-breathing Catfish (Clariidae: Clarias) from Salonga National Park, Democratic Republic of the Congo
FIGURE 4. Suprabranchial organ of Clarias monsembulai, AMNH 244162, 165 mm SL (suprapreopercle removed). Scale bar = 1 cm.
FIGURE 3 in A New Species of Air-breathing Catfish (Clariidae: Clarias) from Salonga National Park, Democratic Republic of the Congo
FIGURE 3. Computed tomography scan reconstruction of the skull and pectoral girdle of Clarias monsembulai (at left and above), AMNH 252267, 179 mm SL in A, dorsal; B, ventral; and C, lateral views. Abbreviations: ang, anguloarticular; apal, autopalatine; br, branchiostegal rays; ch-a, anterior ceratohyal; ch-p, posterior ceratohyal; cl, cleithrum; cor, coracoid; den, dentary; fr, frontal; hhv, ventral hypohyal; hm, hyomandibula; io-ii, infraorbital ii; io-iii, infraorbital iii; io-iv, infraorbital iv; iop, interopercle; lac, lacrimal; leth, lateral ethmoid; meth, mesethmoid; mx, maxilla; na, nasal; ns, neural spines; op, opercle; o-susp, os suspensorium; pmx, premaxilla; pop, preopercle; pp-v4, parapophysis of 4th vertebra; pp-v5, parapophysis of 5th vertebra; ps, pectoral spine; pt, pterotic; pt-scl, posttemporo-supracleithrum; q, quadrate; rad, radials; soc, supraoccipital; sph, sphenotic; spop, suprapreopercle; trsc, transcapular process; uh, urohyal; vo, vomer. Scale bars = 1 cm.
FIGURE 2 in A New Species of Air-breathing Catfish (Clariidae: Clarias) from Salonga National Park, Democratic Republic of the Congo
FIGURE 2. Lateral view of Clarias monsembulai new species, holotype AMNH 244176, 226 mm SL. Luilaka River at Ilenge, Salonga National Park. Scale bar = 1 cm.
FIGURE 1 in A New Species of Air-breathing Catfish (Clariidae: Clarias) from Salonga National Park, Democratic Republic of the Congo
FIGURE 1. Computed tomography scans showing dorsal view of the skull of A, AMNH 59064 Clarias laeviceps and B, AMNH 274797 Clariallabes melas with the suprapreopercle (spop) and sphenotic (sph) highlighted in red.
Data and code for figures: Breathing Dissipative Solitons in Optical Microresonators
<p>This dataset contains the data presented in the Figures of the paper Breathing dissipative solitons in optical microresonators (doi:10.1038/s41467-017-00719-w).</p> <p>The data for figure X is gathered in one matlab dataset file FigureX_Dataset.mat, under a structure variable figX whose fields are the panels of the figure in the manuscript (a,b,c,...). In each of the panel field, you find subfields X, Y, Z that each are cell arrays containing the (X,Y,Z) data for all the lines / surfaces presented in the panel.</p> <p>In order to plot the line #1 of panel b of figure 3 you can proceed as follow:</p> <p>load Figure3_Dataset.mat<br> plot(fig3.b.X{1}, fig3.b.Y{1})</p> <p><br> A minimal script FigureX_process.m is provided for each figure in order to plot all the panels. For some insets of Figures 1,2,4, the structure is slightly modified, please refer to the scripts for detail access of the data.</p> <p>The datasets and scripts were generated and tested using Matlab 2017 or 2014.</p>
A normative database of free-breathing pediatric thoracic 4D dynamic MRI images
<p>In pediatric patients with respiratory abnormalities, it is important to understand the alterations in regional dynamics of the lungs and other thoracoabdominal components, which in turn requires a quantitative understanding of what is considered as normal in healthy children. Currently, such a normative database of regional respiratory structure and function in healthy children does not exist. The shared open-source normative database is from our ongoing virtual growing child (VGC) project, which includes 4D dynamic magnetic resonance imaging (dMRI) images during one breathing cycle for each normal child and also 10 object segmentations at end expiration (EE) and end inspiration (EI) phases of the respiratory cycle in the 4D image. The lung volumes at EE and EI as well as the excursion volumes of chest wall and diaphragm from EE to EI, left and right separately, are also reported. The database has 2,820 3D segmentations from 141 healthy children, which to our knowledge is the largest dMRI dataset of healthy children to date. The database is unique and provides dMRI images, object segmentations, and quantitative regional respiratory measurement parameters of volumes for healthy children. The database can serve as a reference standard to quantify regional respiratory abnormalities in young patients with various respiratory conditions and facilitate treatment planning and response assessment. The database can be useful to advance future AI-based research on image-based object segmentation and analysis.</p>
Efficacy of Transformational Breath® for anxiety management in professional voice users
<p>Raw data for publication of original research entitled "<span>Efficacy of Transformational Breath<sup>®</sup> for anxiety management in professional voice users".</span></p> <p><span>Randomised controlled trial</span></p> <p><span>Quantitative and qualitative data sets relating to responses of treatment and control groups.</span></p>
Nonlinear method to assess autonomic modulation during controlled breathing: dataset
<p><strong>Please, cite this article if using dataset:</strong></p> <p><strong>A. Uryga, M. Najdek, M. Najda, C. Mataczyński and T. Buchner, "Nonlinear Method to Assess Autonomic Modulation During Controlled Breathing," <em>2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)</em>, ZARAGOZA, Spain, 2024, pp. 1-2, doi: 10.1109/ESGCO63003.2024.10766976.</strong></p> <p> </p> <p><strong>General information:</strong></p> <p>This database contains data from 34 young healthy volunteers (median age: 22 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024.</p> <p>The study was approved by the bioethical committee (KB-179/2023/N).</p> <p>We would like to thank Prof. Magdalena Kasprowicz, the head of the Brain Physics group (https://www.brainlab.pwr.edu.pl/), for her help and support during the research.</p> <p>The study was support by National Science Centre, Poland (UMO-2022/47/D/ST7/00229).</p> <p><strong>Signal recordings description:</strong></p> <ul> <li>ABP was measured non-invasively by a servo-controlled plethysmograph (CNAP, CNSystems Medizintechnik GmbH, Graz, Austria, in n = 19 subjects, and Finapres Nova, FMS Medical Systems, in n = 15 subjects). The cuff was placed on the middle finger of the left hand and held at the level of the heart.</li> <li>Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration, and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA).</li> <li><strong>Protocol</strong>: After a resting epoch lasting at least 5 minutes, a controlled breathing session was initiated with three 5-minute recordings at respiratory rates of 6, 10, or 15 breaths/min (0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome.</li> </ul> <p><strong>Data description:</strong></p> <ul> <li><strong>Metadata</strong>: Including device, gender (male M, female F), and age</li> <li><strong>Autonomic Nervous System parameters</strong>: Including <ul> <li>Phase-Rectified Signal Averaging (PRSA) - a non-linear approach used to quantify the acceleration (AC) and deceleration (DC) capacity of the heart</li> <li>Entropy: Fuzzy entropy (FuzzyEn) functions calculated for R-R intervals, which were implemented in NeuroKit2</li> <li>Joint Symbolical Analysis (JSA) - a method that identifies short-term repeated patterns in a signal (JSA_sym and JSA_diam)</li> </ul> </li> <li><strong>Physiological parameters</strong>: Including <ul> <li>Mean arterial blood pressure (ABP)</li> <li>Mean end-tidal carbon dioxide (EtCO2)</li> <li>Mean heart rate (HR)</li> </ul> </li> </ul>
Proteomic characterization of human exhaled breath condensate.
<p>datasets from 3 studies, for In-depth proteomics characterization of exhaled breath condensate (EBC).</p> <p>1) Lacombe M. et al, 2018</p> <p>2) Muccilli V. et al, 2015</p> <p>3) Bredberg A. et al, 2012</p>
Fig. 4 in Take a deep breath… The evolution of the respiratory system of symphytognathoid spiders (Araneae, Araneoidea)
Fig. 4 The respiratory system of symphytognathoid spiders. Dorsal view. a Tasmanapis strahan (Anapidae), ARS with unconnected reduced book lungs and tracheal tubes arising from the leaves. b Patu-SYMP-001-DR (Symphytognathidae), overview of ARS and PRS, which consists of numerous tracheae. Note the single median entapophysis. c Coddingtonia euryopoides (Theridiosomatidae), overview of ARS and PRS. d Cepheia longiseta (Synaphridae), ARS with few tracheae and promi- nent transverse duct. Abbreviations: aTt, anterior tracheal tubes; mE, median entapophysis; plT, posterior lateral trachea; rBL, reduced book lung; Sp, spermatheca; TD, transverse duct; Tt, tracheal tube
Fig. 2 in Take a deep breath… The evolution of the respiratory system of symphytognathoid spiders (Araneae, Araneoidea)
Fig. 2 The respiratory system of Mysmenidae — the genera Isela and Mysmenopsis. Dorsal view. a Isela sp., overview of ARS and PRS. b Isela sp., detail of left reduced book lungs showing the tracheal tubes arising from the most lateral and dorsal leaf. c Isela sp., detail of PRS showing the lack of median entapophyses. d–f Mysmenopsis dipluramigo. d Overview. e Detail of left anterior tracheae showing a book lung leaf arising ventrally. f Detail of PRS consisting of numerous tracheae. Abbreviations: BLl, book lung leaf; plT, posterior lateral trachea; pmT, posterior median trachea; rBL, reduced book lung; Sp, spermatheca; Tt, tracheal tube
Fig. 3 in Take a deep breath… The evolution of the respiratory system of symphytognathoid spiders (Araneae, Araneoidea)
Fig. 3 The respiratory system of Mysmenidae — the subfamily Mysmeninae. a Microdipoena guttata, ventral view of opisthosoma showing the advanced and wide posterior spiracle with its two distinct openings (arrows). b Microdipoena guttata, dorsal view of ARS and PRS, which consist of numerous tracheae and especially the posterior tracheal tubes extending into the pedicel. c Mysmena-MYSM-015-MAD, dorsolateral view of ARS and PRS. d Mysmena-MYSM- 028-MAD, anterior view of the opisthosoma showing tracheal tubes extending into the pedicel. e Mysmena-MYSM-010-MEX, detail of PRS in dorsal view showing the small median entapophyses. Abbreviations: aTt, anterior tracheal tubes; GO, genital opening; mE, median entapophysis; pTt, posterior tracheal tubes; Sp, spermatheca; Spi, spiracle; TD, transverse duct; Tt, tracheal tube
Fig. 1 in Take a deep breath… The evolution of the respiratory system of symphytognathoid spiders (Araneae, Araneoidea)
Fig. 1 The respiratory system of Mysmenidae — the genera Maymena and Trogloneta. Dorsal view. a M. ambita, ARS. b M. ambita, PRS with two median entapophyses and two single lateral tracheae. c M. mayana, ARS. d M. rica, ARS with reduced book lungs and tracheal tubes. e T. cantareira, overview of ARS and PRS. f T. cantareira, PRS with a single median entapophysis and two single lateral tracheae. g T. granulum, ARS with reduced book lungs. Abbreviations: BL, book lung; mE, median entapophysis; plT, posterior lateral trachea; rBL, reduced book lung; Sp, spermatheca; TD, transverse duct; Tt, tracheal tube
Britain Breathing 2016-2019 Air Quality and Meteorological Dataset
<p>This data set is a collection of daily mean and maximum values for a range of air quality and meterological measurements and model forecasts for the UK for the years 2016-2019, inclusive. The dataset contains Temperature, Relative Humidity, and Pressure data, downloaded from the Met Office MIDAS archives via the MEDMI server (https://www.data-mashup.org.uk/). Also downloaded from the MEDMI server are daily pollen measurements for the UK. PM10, PM2.5, NO2, NOx (as NO2), O3, and SO2 measurements from the DEFRA AURN network, and also model forecasts of the same made using the EMEP model.</p> <p>The paper describing this dataset is available here: <a href="https://www.nature.com/articles/s41597-022-01135-6">https://www.nature.com/articles/s41597-022-01135-6</a></p> <p>The tools used to download and process these measurement datasets are available here: <a href="https://zenodo.org/record/4545257">https://zenodo.org/record/4545257</a></p> <p>The dataset is designed for use with the region estimator toolset, available in this repository: <a href="https://github.com/UoMResearchIT/region_estimators">https://github.com/UoMResearchIT/region_estimators</a></p> <p>Emissions over the UK for the EMEP model runs were generated using the NAEI 2016 UK emission dataset, available in netcdf form here: <a href="https://zenodo.org/record/3997165#.X9KUBF6nzUI">https://zenodo.org/record/3997165#.X9KUBF6nzUI</a>. The running scripts, and operation inputs for EMEP, are available here: <a href="https://zenodo.org/record/3997301#.X9KUAF6nzUI">https://zenodo.org/record/3997301#.X9KUAF6nzUI</a> and <a href="https://zenodo.org/record/3997271#.X9KV1F6nzUI">https://zenodo.org/record/3997271#.X9KV1F6nzUI</a>.</p> <p>The dataset is presented in CSV format, as three files:</p> <ol> <li>turing_aq_daily_met_pollen_pollution_original_data.csv: original data (described below)</li> <li>turing_aq_daily_met_pollen_pollution_with_imputation_data.csv: original plus imputed data (described below)</li> <li>site_location_data.csv: location metadata (site_id, latitude, longitude, postcode area)</li> </ol> <p> </p> <p>The columns intended to be used as indexes are:</p> <ul> <li>timestamp, <ul> <li>date of measurements on that row</li> </ul> </li> <li>site_id, <ul> <li>measurement site ID, corresponding to sites in the three networks: <ul> <li>AURN [indicated by AQ],</li> <li>MIDAS [indicated by WEATHER],</li> <li>or pollen [indicated by POLLEN].</li> </ul> </li> </ul> </li> </ul> <p>The data columns are:</p> <ul> <li>O3, PM10, PM2.5, NO2, NOXasNO2, SO2, <ul> <li>daily mean and maximum values in ug/m3 (all with "_max", "_mean", and "_flag" tags)</li> <li>AURN measurement data</li> </ul> </li> <li>O3_EMEP, NO2_EMEP, SO2_EMEP, NOXasNO2_EMEP, PM2.5_EMEP, PM10_EMEP, <ul> <li>daily mean and maximum values in ug/m3 (all with "_max", and "_mean" tags)</li> <li>EMEP model forecasts</li> </ul> </li> <li>alnus, ambrosia, artemisia, betula, corylus, fraxinus, platanus, poaceae, quercus, salix, ulmus, urtica, <ul> <li>daily pollen grain counts</li> </ul> </li> <li>temperature, relativehumidity, pressure, <ul> <li>daily mean and maximum values in degC, %, and hPa (all with "_max", "_mean", and "_flag" tags).</li> <li>Met Office measurement data</li> </ul> </li> </ul> <p>The "_flag" columns indicate data points which have been partially, or fully, imputed. The values for these will be in the range 0-1, and indicate the fraction of the hourly values within that day that are imputed (0 = none, 1 = all 24 hourly datapoints are imputed). No imputation is done in the original dataset, so the "_flag" data in this dataset will always be zero (the number of hourly data points used to calculate the daily mean and maximum are not recorded in this dataset).</p> <p>The station location metadata includes longitude, latitude, and UK postcode area data. Where sites lie outside of the UK the postcode is replaced with regional indicator (here: Republic of Ireland (ROI)).</p> <p> </p> <p>Please cite the following paper if you use this dataset: Reani, M., Lowe, D., Gledson, A., Topping, D., & Jay, C. (2022). UK daily meteorology, air quality, and pollen measurements for 2016–2019, with estimates for missing data. <em>Scientific Data</em>, <em>9</em>(1), 43. https://doi.org/10.1038/s41597-022-01135-6</p>
Fig. 1 in Scientific note The air-breathing cycle of Hoplosternum littorale (Hancock, 1828) (Siluriformes: Callichthyidae)
Fig. 1. Air-breathing cycle of Hoplosternum littorale: 1) ascent to the water surface; 2) in contact with the surface the fish expands its oral cavity, inspiring air; 3) turning head down, with compression of the oral cavity pushing air into the intestine and causing the expiration of old air from the anus (circle, continuous line); 4) return to bottom and release of small air bubbles through the opercula (circle, dotted line). Arrows indicate the action of the buccal pump.
Data for: Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction (Part 1/2)
<p>Magnetic Resonance Imaging measurement data used in our paper about "Free-Breathing Myocardial T1 Mapping using Inversion-Recovery Radial FLASH and Motion-Resolved Model-Based Reconstruction". The data is provided in a file format used by the BART toolbox (DOI: <a href="http://doi.org/10.5281/zenodo.592960">10.5281/zenodo.592960</a>)</p>
"Breath holding" as a thermoregulation strategy in the scalloped hammerhead, a deep-diving tropical ectothermic shark
<p>Fish moving between different thermal environments experience heat exchange via conduction through the body wall and convection from blood flow across the gills. Here we report a strategy of preventing convective heat loss at the gills during excursions into deep cold water by the tropical scalloped hammerhead shark (<em>Sphryna lewini</em>). Adult scalloped hammerhead sharks dive rapidly and repeatedly from warm (~26ºC) surface waters to depths exceeding 800 meters and temperatures as low as 5°C. Biologgers attached to adult sharks show that warm muscle temperatures were maintained throughout the deepest portion of each dive. Substantive cooling only occurred during the latter stages of the ascent phase, and once initiated, was rapid. Heat transfer coefficient modeling indicated that convective heat transfer was suspended, probably by suppressing gill function during deep dives. This previously unobserved strategy has broad similarities to marine mammal "breath hold" diving.</p>
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13 in Collecting Sounds. Online Sharing of Field Recordings as Cultural Practice
"I was on vacation in Mala, living in a self-catering holiday cottage, together with my girlfriend (we're together for 11 years now), recovering from a heavy workload in the second half of 2008. We were sitting outside, probably sipping a beer, when we heard the sound of bells approaching. Stepping on the stones that enclose the little forecourt of the cottage, we could just see the goat herd being driven by. Idashed for my R09 (recording equipment) to get that impression – but too slowly too late, it seemed, the herd had disappeared and with it the sound. When Iwas about to pack my R09 again the sound appeared to come back, so Idashed down the driveway, just in time to see the herd pass, and then Ifollowed it a couple of hundred meters, walking behind the herd, trying not to breathe or make stepping sounds, eventually, when dogs started barking and a car approached from behind, I stopped and let the goats go on, the car passes, honks ... and Icut the recording and walk back to the cottage." [Peter/ptroxler]13
Capnography-Assisted Learned Monitored (CALM) Breathing Therapy for COPD
ClinicalTrials.gov study NCT04786184. IPD Sharing: YES. Countries: 1. Publications: 1.
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