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25 results for “extreme flows”
Extreme to phenomenal storm wave impacts on a steep rocky coast, north Mayo, Ireland: video data, image analysis, runup and flow velocity calculations for waves of storms Fionn and Gareth.
<p>The primary data are video (.mp4) files of extreme storm wave impacts on the sites of high elevation (>=20m above high water mark) coastal boulder deposits, recorded during storms Fionn (16/01/2018) and Gareth (12/03/2019), at (54.320355, -9.569633) on the north Mayo coast of Ireland, while the significant wave height was in the range [11m,14m]. There are also .png and .jpg files derived from frames of some of the videos, relating to the analysis of the impacting wave kinematics (runup/landward propagation and flow velocities), together with physical measurements for scale determination and runup/velocity/measurement uncertainty calculations in Excel. The files EventX.mp4 are the primary data for the wave impacts EventX. The files EventX_Frame_Y.jpg are frames sampled from EventX.mp4 at constant time intervals in the temporal vicinity of the impact. The files EventX_Edges_Y.png are the edges derived from the frames with the Canny edge detector. The files EventX_Registration_Y.jpg are the impacting wavefront edges with topographical edges registered on the file ReferenceImage.jpg The files EventX.jpg are the stacked registrations for all Y, from which the impact kinematics are derived. The file Scale_Registration_Position_Velocity_Measurements_AndUncertainty.xlsx contains physical measurements for scale determination, measurements of registration error, and the calculations of impact runup/landward displacement and flow velocities, with their uncertainties. The files JetX_Leacht_a_Chúil.mp4/g are videos of large jet-producing impacts at another site.</p> <p>The files DSCN0066.MP4-DSC0085.MP4 are the raw video observations of Storm Gareth, recorded from 15:35-18:41 UT on 12 March 2019 with a Nikon Coolpix W100, while the significant wave height increased from 12m to in excess of 14m (the timestamp of these videos in Properties->Details->Media Created is one hour later than the UT of creation, because the camera's clock was set to Irish Summer Time). The file GPO15366.MP4 is an example of the GoPro (Hero 5) videos recorded simultaneously.</p>
Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 1
<p>Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]</p><p>PART 1</p><p>Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4</p><p>The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.</p><p>Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.</p><p>Explanation of each data type:</p><ul><li> 2D_elv_all: Spatially resolved simulated surface elevation from 08/2012 to 12/2013: Tidal analysis Fig. 4, Table 1 (simulated surface elevation vs. time)<ul><li>5 min snapshots</li></ul></li><li>Elbe_dia_getm_all: Diahaline analysis Fig. 8, 11: on-line GETM computation of u_dia,z^S in September 2012 and June 2013<ul><li>44700s temporal resolution (M2 tidal period); averaged over each period</li></ul></li><li>Elbe_TEF_mean_all: Total Exchange Flow analysis in September 2012 and June 2013, Fig.s 7, 8<ul><li>1-hourly averages</li></ul></li><li>Mixing_mean_all: Physical and numerical Mixing from 08/2012 to 12/2013. Fig. 7, 8, 9, 10, 11<ul><li>44700s temporal resolution (M2 tidal period); averaged over each period</li></ul></li><li>ST_stations: Surface elevation at given location for comparison with observational data at named station from 08/2012 to 12/2013<ul><li>5 min snapshots</li></ul></li><li>SST_stations: Salinity and temperature at given location for comparison with observational data at named station from 08/2012 to 12/2013; Fig. 3, Fig. 5, Table 2<ul><li>30-min snapshots</li></ul></li></ul><p> </p><p>[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:</p><p> Local mixing determines spatial structure of diahaline exchange flow in a</p><p> mesotidal estuary – a study of extreme runoff conditions.</p><p> J. Phys. Oceanogr., in press.</p>
Dataset from Reese et al.: "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" - PART 2
<p>Model data from the numerical setup of the tidal Elbe presented in Reese et al. (2023): "Local Mixing Determines Spatial Structure of Diahaline Exchange Flow in a Mesotidal Estuary: A Study of Extreme Runoff Conditions" [1]</p><p>PART 2</p><p>Each file contains data for a full month, as given through the file naming convention: description.YYYYMMDD.nc4</p><p>The numerical model uses terrain-following sigma coordniates, with sigma level 0 being the bottommost layer.</p><p>Certain variables are also given in salinity class bins of dimension salt_s instead of vertical coordinates.</p><p>Explanation of each data type:</p><ul><li>Mean_all: Spatially resolved, temporally varying salt distribution in the Elbe estuary: Fig. 6, 10<ul><li>1-hourly averages</li></ul></li></ul><p> </p><p>[1] L. Reese, U. Graewe, K. Klingbeil, X. Li, M. Lorenz, H. Burchard, 2023:</p><p> Local mixing determines spatial structure of diahaline exchange flow in a</p><p> mesotidal estuary – a study of extreme runoff conditions.</p><p> J. Phys. Oceanogr., in press.</p>
Data for "Development of a joint probabilistic rainfall-runoff model for high-to-extreme flow simulation and projection in a changing climate"
<p>Data for "<strong>Development of a joint probabilistic rainfall-runoff model for high-to-extreme flow simulation and projection in a changing climate"</strong></p>
Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking
<p>It has been indicated that extreme sport activities, despite providing fear, stress and anxiety, also result in a highly rewarding experience. Studies have related this experience to the concept of flow, a positive feeling that individuals undergo when they are completely immersed in an activity. However, little is known about the exact nature of these experiences, and, there are still no empirical results to characterize the brain dynamics during extreme sport practice. This work aimed at investigating changes in psychological responses while recording physiological (heart rate – HR, and breathing rate – BR) and neural (electroencephalographic – EEG) data of eight volunteers, during outdoors slackline walking in a mountainous environment at two different altitude conditions (1 m – low-walk – and 45 m – high-walk – from the ground). Low-walk showed a higher score on flow scale, while high-walk displayed a higher score in the negative affect aspects, which together point to some level of flow restriction during high-walk. The order of task performance was shown to be relevant for the physiological and neural variables. The brain behavior during flow, mainly considering attention networks, displayed the stimulus-driven ventral attention network – VAN, regionally prevailing (mainly at the frontal lobe), over the goal-directed dorsal attention network – DAN. Therefore, we suggest an interpretation of flow experiences as an opened attention to more changing details in the surroundings, i.e., configured as a ‘task-constantly-opened-to-subtle-information experience’, rather than a ‘task-focused experience’.</p>
Psycho-physio-neurological correlates of qualitative attention, emotion and flow experiences in a close-to-real-life extreme sports situation: low- and high-altitude slackline walking
<p>It has been indicated that extreme sport activities, despite providing fear, stress and anxiety, also result in a highly rewarding experience. Studies have related this experience to the concept of flow, a positive feeling that individuals undergo when they are completely immersed in an activity. However, little is known about the exact nature of these experiences, and, there are still no empirical results to characterize the brain dynamics during extreme sport practice. This work aimed at investigating changes in psychological responses while recording physiological (heart rate – HR, and breathing rate – BR) and neural (electroencephalographic – EEG) data of eight volunteers, during outdoors slackline walking in a mountainous environment at two different altitude conditions (1 m – low-walk – and 45 m – high-walk – from the ground). Low-walk showed a higher score on flow scale, while high-walk displayed a higher score in the negative affect aspects, which together point to some level of flow restriction during high-walk. The order of task performance was shown to be relevant for the physiological and neural variables. The brain behavior during flow, mainly considering attention networks, displayed the stimulus-driven ventral attention network – VAN, regionally prevailing (mainly at the frontal lobe), over the goal-directed dorsal attention network – DAN. Therefore, we suggest an interpretation of flow experiences as an opened attention to more changing details in the surroundings, i.e., configured as a ‘task-constantly-opened-to-subtle-information experience’, rather than a ‘task-focused experience’.</p>
research data for the article Elenius et al, 'Where can rewetting of forested peatland reduce extreme flows?'
<p>This dataset includes data of changes in hydrology when rewetting of drained forested peatland is performed. Details are explained in the companion article, Elenius et al, 'Where can rewetting of forested peatland reduce extreme flows?'</p> <p>Data worksheets and columns are described on the readme worksheet in the file.</p>
Data from: Ancestral gene flow and parallel organellar genome capture result in extreme phylogenomic discord in a lineage of angiosperms
While hybridization has recently received a resurgence of attention from systematists and evolutionary biologists, there remains a dearth of case studies on ancient, diversified hybrid lineages-clades of organisms that originated through reticulation. Studies on these groups are valuable in that they would speak to the long-term phylogenetic success of lineages following gene flow between species. We present a phylogenomic view of Heuchera, long known for frequent hybridization, incorporating all three independent genomes: targeted nuclear (~400,000 bp), plastid (~160,000 bp), and mitochondrial (~470,000 bp) data. We analyze these data using multiple concatenation and coalescence strategies. The nuclear phylogeny is consistent with previous work and with morphology, confidently suggesting a monophyletic Heuchera. By contrast, analyses of both organellar genomes recover a grossly polyphyletic Heuchera,consisting of three primary clades with relationships extensively rearranged within these as well. A minority of nuclear loci also exhibit phylogenetic discord; yet these topologies remarkably never resemble the pattern of organellar loci and largely present low levels of discord inter alia. Two independent estimates of the coalescent branch length of the ancestor of Heuchera using nuclear data suggest rare or nonexistent incomplete lineage sorting with related clades, inconsistent with the observed gross polyphyly of organellar genomes (confirmed by simulation of gene trees under the coalescent). These observations, in combination with previous work, strongly suggest hybridization as the cause of this phylogenetic discord.
Extreme event of water flow in Tucurui River
<p>Video made by residents near the Tucurui River.</p>
Certolizumab and Lower Extremity Lymph Flow in Rheumatoid Arthritis (RA)
ClinicalTrials.gov study NCT01098201. IPD Sharing: Not stated. Countries: 1. Publications: 2.
High Flow Nasal Cannula for Stabilization of Extremely Premature Infants
ClinicalTrials.gov study NCT06683677. IPD Sharing: UNDECIDED. Countries: 1. Publications: 18.
Data from: Extremely reduced dispersal and gene flow in an island bird
Open the record for dataset details and reuse information.
Data from: Ancestral gene flow and parallel organellar genome capture result in extreme phylogenomic discord in a lineage of angiosperms
Open the record for dataset details and reuse information.
Data from: Coronary blood flow influences tolerance to environmental extremes in fish
Open the record for dataset details and reuse information.
Data from: High levels of interspecific gene flow in an endemic cichlid fish adaptive radiation from an extreme lake environment
Studying recent adaptive radiations in isolated insular systems avoids complicating causal events and thus may offer clearer insight into mechanisms generating biological diversity. Here, we investigate evolutionary relationships and genomic differentiation within the recent radiation of Alcolapia cichlid fish that exhibit extensive phenotypic diversification, and which are confined to the extreme soda lakes Magadi and Natron in East Africa. We generated an extensive RAD data set of 96 individuals from multiple sampling sites and found evidence for genetic admixture between species within Lake Natron, with the highest levels of admixture between sympatric populations of the most recently diverged species. Despite considerable environmental separation, populations within Lake Natron do not exhibit isolation by distance, indicating panmixia within the lake, although individuals within lineages clustered by population in phylogenomic analysis. Our results indicate exceptionally low genetic differentiation across the radiation despite considerable phenotypic trophic variation, supporting previous findings from smaller data sets; however, with the increased power of densely sampled SNPs, we identify genomic peaks of differentiation (FST outliers) between Alcolapia species. While evidence of ongoing gene flow and interspecies hybridization in certain populations suggests that Alcolapia species are incompletely reproductively isolated, the identification of outlier SNPs under diversifying selection indicates the radiation is undergoing adaptive divergence.
Flow and Grow - The Ideal Time to Wean CPAP Off In Extremely Low Birth Weight Infants
ClinicalTrials.gov study NCT06123143. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: High levels of interspecific gene flow in an endemic cichlid fish adaptive radiation from an extreme lake environment
Open the record for dataset details and reuse information.
The Effects of Lower Extremity Blood Flow Restriction Training on Power, and Muscle Size.
ClinicalTrials.gov study NCT03983070. IPD Sharing: NO. Countries: 1. Publications: 0.
Blood Flow Restriction Training in Patients With Lower Extremity Fractures
ClinicalTrials.gov study NCT06496035. IPD Sharing: NO. Countries: 1. Publications: 0.
Non-invasive Flow Measurements in Patients With Lower Extremity Arterial Disease (LEAD)
ClinicalTrials.gov study NCT05689190. IPD Sharing: NO. Countries: 1. Publications: 0.
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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.