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2,152 results for “outputs”
HYCOM Outputs Used in the paper <Intraseasonal Variability of the Surface Zonal Current in the Equatorial Indian Ocean: Seasonal Differences and Causes>
<p>The Hybrid Coordinate Ocean Model (HYCOM) is conducted in this paper to characterize intraseasonal features of equatorial currents and to explore the dynamics process in the Indian Ocean. The model has a horizontal resolution of 0.25°´0.25° and 26 vertical layers in the Indian Ocean Basin (50°S-30°N, 30°-122.5°N). The model is spun up from a state of rest for 30 years using monthly climatological forcing, and then is integrated forward by cross-calibrated Multi-Platform (CCMP) satellite ocean surface winds (Atlas et al., 2008) from 1 March 2000 to 31 December 2010 and by the daily 0.25 ° × 0.25° gridded Advanced Scatterometer (ASCAT) satellite ocean surface winds (Bentamy and Fillon, 2012) from 1 January 2011 to 31 December 2012. This experiment is named the main run (MR). We performed two additional experiments besides MR, named NoISO and NoSTRESS. In the NoISO, the forcing is overall atmospheric ISOs that fully filtered with a 105-day low-pass Lanczos digital filter. The outputs of the three experiments are daily data, we used the records of 2001-2012 in our analysis.</p> <p>MR-- Controlled experiment</p> <p>NoISO -- There is no intraseasonal oscillation (ISO) in the driving atmospheric field in this experiment, so it can measure the effect of oceanic interannual instability, and MR-NoISO measure the effect of atmospheric ISOs)</p> <p>NoStress -- There is no intraseasonal wind stress in the driving atmospheric field in this experiment, so MR-NoStress measures the effect of intraseasonal wind stress</p>
W-band Traveling Wave Tube Gain and Output Power
<p>This dataset corresponds to the underlying data of the paper titled "W-band TWTs for New Generation High Capacity Wireless Networks" published in Proc. of 17th International Vacuum Electronics Conference (IVEC 2016).</p> <p> </p>
Output data and scripts used to generate figures
<p>Numerical model, output data used in analysis and matlab/python scripts for figures generation</p>
ARCSV project output
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TF12RE project output
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GSS Customer Centric Enterprise Architecture Thematic Analysis Output
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Dataset related to the article "Rest and exercise oxygen uptake and cardiac output changes 6 months after successful transcatheter mitral valve repair"
<p><strong>Aims: </strong>Changes in peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) 6 months after successful percutaneous edge-to-edge mitral valve repair (pMVR) in severe primary (PMR) and functional mitral regurgitation (FMR) patients are unknown. The aim of the study was to assess the efficacy of pMVR at rest by echocardiography, VO<sub>2</sub> and CO (inert gas rebreathing) measurement and during cardiopulmonary exercise test with CO measurement.</p> <p><strong>Methods and results: </strong>We evaluated 145 and 115 patients at rest and 98 and 66 during exercise before and after pMVR, respectively. After successful pMVR, significant reductions in MR and NYHA class were observed in FMR and PMR patients. Cardiac ultrasound showed reverse remodelling (left ventricular end-diastolic volume from 158 ± 63 mL to 147 ± 64, P < 0.001; ejection fraction from 51 ± 15 to 48 ± 14, P < 0.001; pulmonary artery systolic pressure (PASP) from 43 ± 13 to 38 ± 8 mmHg, P < 0.001) in the entire population. These changes were significant in PMR (n = 62) and a trend in FMR (n = 53), except for PASP, which decreased in both groups. At rest, CO and stroke volume (SV) increased in FMR with a concomitant reduction in arteriovenous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ]. Peak exercise, CO and SV increased significantly in both groups (CO from 5.5 ± 1.4 L/min to 6.3 ± 1.5 and from 6.2 ± 2.4 to 6.7 ± 2.0, SV from 57 ± 19 mL to 66 ± 20 and from 62 ± 20 to 69 ± 20, in FMR and PMR, respectively), whereas peak VO<sub>2</sub> was unchanged and ΔC(a-v)O<sub>2</sub> decreased.</p> <p><strong>Conclusions: </strong>These data confirm pMVR-induced clinical improvement and reverse ventricular remodelling at a 6-month analysis and show, in spite of an increase in CO, an unchanged exercise performance, which is achieved through a 'more physiological' blood flow distribution and O<sub>2</sub> extraction behaviour. Direct rest and exercise CO should be measured to assess pMVR efficacy.</p> <p><strong>Keywords: </strong>Cardiac output; Exercise; Oxygen uptake; Percutaneous edge-to-edge mitral valve repair; Transcatheter mitral valve repair.</p>
Simulation outputs from the Inkomati-Usuthu case study of the NEXOGENESIS project
<p>System Dynamic Model outputs for the Inkomati Case Study. For 2 climate and 2 socio-economic scenarios, with and without policy implentation. 8 datasets in total </p>
Model outputs of "Numerical investigation of nonlinear interaction between salinity- and sediment-induced stratification in highly turbid estuaries and coastal seas"
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FL fish recruitment analyses input output 1
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FL fish recruitment analyses input output 2
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MAR Antarctica v3.12 albCor=1.05 outputs at daily resolution
<p>Outputs of the regional atmospheric model MAR for the Antarctic domain, at 35 km resolution.</p>
Rehabilitation of post-stroke aphasia by a single protocol targeting phonological, lexical, and semantic deficits with speech output tasks
<p>This study assessed the effectiveness of a novel rehabilitation protocol (PHOLEXSEM), focused on PHonological, SEmantic, and LExical deficits, aiming at improving lexical retrieval, and, generally, spoken output. The study is published here: https://doi.org/10.23736/S1973-9087.24.08576-9</p> <p><span>These data cannot be made publicly available because they include sensitive information, but can be made available to interested researchers upon reasonable request. Please, forward your request to Prof. Nadia Bolognini (n.bolognini@auxologico.it).</span></p>
AVHIRO Output
<p>AVHIRO output from 2011 day 261.</p>
Sex-differences in the control of gluconeogenesis and hepatic glucose output in rats
GEO Series GSE10649. Rattus norvegicus. 16 samples. Type: Expression profiling by array.
Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Ranucci M, Porta A. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. Physiol Meas. 2019 Apr 26;40(4):044001. doi: 10.1088/1361-6579/ab12f0. PMID: 30909175.
<p>Data set from the article Bari V, Vaini E, Pistuddi V, et al. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. <em>Physiol Meas</em>. 2019;40(4):044001. Published 2019 Apr 26. doi:10.1088/1361-6579/ab12f0</p> <p>This is the abstract:</p> <p><strong>Background: </strong>Low cardiac output syndrome (LCOS) is a myocardial dysfunction leading to systemic hypoperfusion, favored by particular conditions of the autonomic nervous system. LCOS is one of the adverse events that might occur after cardiac surgery.</p> <p><strong>Objective: </strong>The aim is to test the hypothesis that short-term multiscale complexity (MSC) analysis of heart period (HP) and systolic arterial pressure (SAP) variability series in the frequency bands typical of cardiovascular control could be fruitfully exploited in identifying subjects at risk of developing LCOS after coronary artery bypass graft (CABG).</p> <p><strong>Approach: </strong>HP and SAP beat-to-beat series were derived from electrocardiogram (ECG) and invasive arterial pressure (AP) signal acquired in 128 patients scheduled for CABG before (PRE) and after (POST) the induction of general anesthesia with propofol and remifentanil. Subjects were labeled as LCOS (n = 14) and noLCOS (n = 114) according to the LCOS development. MSC markers were calculated as the complement to 1 of the modulus of the average position of the poles dropping in the low-frequency (LF, 0.04-0.15 Hz) and high-frequency (HF, 0.15-0.5 Hz) bands as derived from the autoregressive model of HP and SAP series. Traditional time and frequency domain indexes were also calculated.</p> <p><strong>Main results: </strong>Traditional parameters were able to assess the depression of the cardiovascular regulation induced by general anesthesia, but showed weak performances in differentiating LCOS and noLCOS groups. Conversely, HP complexity in LF band and SAP complexity in HF band assessed during POST remained associated with LCOS even after entering a multivariate logistic regression model adjusted for clinical and demographic factors.</p> <p><strong>Significance: </strong>The MSC approach can be fruitfully applied to improve risk stratification for LCOS after CABG likely because MSC markers describe the dysfunction of the sympathetic control and the impairment of the mechanical properties of the heart in the LCOS group.</p>
Major outputs for source apportionment of fine secondary inorganic aerosol over the Pearl River Delta region using a hybrid method
<p>The results for our work can be downloaded from this URL. The source impact estimates were simulated by CAMx (v6.4) with the module of PSAT in January, April, July, and October 2015. Matlab R2017b was used to perform spatial interpolation, optimization, and statistics calculations.</p>
Cardiac output changes during exercise in heart failure patients: focus on mid-exercise.
<p>This dataset contains the raw data of the paper "Cardiac output changes during exercise in heart failure patients: focus on mid-exercise."</p> <p><strong>Aims: </strong>Peak exercise oxygen uptake (VO<sub>2</sub> ) and cardiac output (CO) are strong prognostic indexes in heart failure (HF) but unrelated to real-life physical activity, which is associated to submaximal effort.</p> <p><strong>Methods and results: </strong>We analysed maximal cardiopulmonary exercise test with rest, mid-exercise, and peak exercise non-invasive CO measurements (inert gas rebreathing) of 231 HF patients and 265 healthy volunteers. HF patients were grouped according to exercise capacity (peak VO<sub>2</sub> < 50% and ≥50% pred, Groups 1 and 2). To account for observed differences, data regarding VO<sub>2</sub> , CO, stroke volume (SV), and artero-venous O<sub>2</sub> content difference [ΔC(a-v)O<sub>2</sub> ] were adjusted by age, gender, and body mass index. A multiple regression analysis was performed to predict peak VO<sub>2</sub> from mid-exercise cardiopulmonary exercise test and CO parameters among HF patients. Rest VO<sub>2</sub> was lower in HF compared with healthy subjects; meanwhile, Group 1 patients had the lowest CO and highest ΔC(a-v)O<sub>2</sub> . At mid-exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV [0.69 (interquartile range 0.57-0.80) L/min; 5.59 (4.83-6.67) L/min; 62 (51-73) mL] than Group 2 [0.94 (0.83-1.1) L/min; 7.6 (6.56-9.01) L/min; 77 (66-92) mL] and healthy subjects [1.15 (0.93-1.30) L/min; 9.33 (8.07-10.81) L/min; 87 (77-102) mL]. Rest to mid-exercise SV increase was lower in Group 1 than Group 2 (P = 0.001) and healthy subjects (P < 0.001). At mid-exercise, ΔC(a-v)O<sub>2</sub> was higher in Group 2 [13.6 (11.8-15.4) mL/100 mL] vs. healthy patients [11.6 (10.4-13.2) mL/100 mL] (P = 0.002) but not different from Group 1 [13.6 (12.0-14.9) mL/100 mL]. At peak exercise, Group 1 patients achieved a lower VO<sub>2</sub> , CO, and SV than Group 2 and healthy subjects. ΔC(a-v)O<sub>2</sub> was the highest in Group 2. At multivariate analysis, a model comprising mid-exercise VO<sub>2</sub> , carbon dioxide production (VCO<sub>2</sub> ), CO, haemoglobin, and weight predicted peak VO<sub>2</sub> , P < 0.001. Mid-exercise VO<sub>2</sub> and CO, haemoglobin, and weight added statistically significantly to the prediction, P < 0.050.</p> <p><strong>Conclusions: </strong>Mid-exercise VO<sub>2</sub> and CO portend peak exercise values and identify severe HF patients. Their evaluation could be clinically useful.</p>
Future spinal reflex is embedded in primary motor cortex output
<p>## Overview of Datasets and Codes</p> <p>The datasets and codes are compatible with Matlab 2022b and subsequent versions.<br> Any other specialized software is not needed.<br> The compressed data and code files can be decompressed and accessed in Matlab.<br> Figures from the article will be generated within a few minutes.</p> <p>## Data and File Structure Description</p> <p>FigXX_data.mat: Dataset corresponding to Fig.XX (where XX represents the figure number).</p> <p>## Code/Software</p> <p>FigXX.m: Script to process the data (FigXX_data.mat) and generate Fig.XX.</p>
COAWST model outputs (01/2002-12/2015) for the Australian North West Shelf
<p>This data set includes all model outputs used in the paper:</p> <p><strong>Dufois</strong> F., Lowe R., Rayson M., Branson P., 2018. A numerical study of tropical cyclone-induced sediment dynamics on the Australian North West Shelf. Journal of Geophysical Research. <a href="https://doi.org/10.1029/2018JC013939">doi:10.1029/2018JC013939</a> </p> <p>Read the README file for more details.</p>
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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.